Awesome List Updates on Nov 18, 2021

13 awesome lists updated today.

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1. Awesome Cassandra

Cassandra Deployment / Cassandra as a Service / Managed Cassandra Based on Proprietary Technology

• Benchmarking Cassandra with Local Storage on Azure - Learn about comparing Cassandra on Azure VMs w/ Local vs. Remote storage.

2. Awesome Blazor

Source generators / Others

• BlazorOcticons (⭐24) Github Octicons created as a .razor components using source generator. The generated components are available via the NuGet package, the generator itself is available as a separate NuGet package. The project website is an example using the generated components.

3. Awesome

Praises / Tutorials

• Craft CMS vs WordPress: A comparison & why we love Craft CMS by Chris Cox/Made by Bridge - 17 Nov 2021

4. Public Apis

Security

• API: Application Environment Verification (⭐82)

  Description: Android library and API to verify the safety of user devices, detect rooted devices and other risks

  Auth: apiKey

  HTTPS: Yes

  CORS: Yes

5. Awesome Zsh Plugins

Generic ZSH

• ZSH Unplugged (⭐415) - Good resource if you want to eliminate using a framework but still easily use plugins.

6. Awesome WSL

WSL Tools / For Managing WSL Installations

• WSL GUI Tool (⭐85) - A graphical tool to manage (run, stop, import, export...) WSL.

7. Awesome Ebpf

eBPF Workflow: Tools and Utilities / oxidebpf

• oxidebpf (⭐116) - A pure Rust library for managing eBPF programs, designed for security use cases. The featureset is more limited than other libraries but emphasizes stability across a wide range of kernels and backwards-compatible compile-once-run-most-places.

8. Awesome Agi Cocosci

Abduction / Explanation

• Abductive Cognition: The Epistemological and Eco-Cognitive Dimensions of Hypothetical Reasoning - Springer, 2009. [All Versions]. Most philosophers of science in the twentieth century have concluded that no logic of creative processes exists and, moreover, that a rational model of discovery is impossible. In short, scientific creative inferences are irrational and there is no “reasoning” to hypotheses. On the other hand, some research in the area of artificial intelligence has shown that methods for discovery could be found that are computationally adequate for rediscovering --- or discovering for the first time --- empirical or theoretical laws and theorems.

• The Role of Explanatory Considerations in Updating - Cognition, 2015. [All Versions]. This paper investigates experimentally controversy in philosophy about the connection between explanation and inference, of whether judgments of the explanatory goodness of hypotheses do play a role when people revise their degrees of belief in those hypotheses upon the receipt of new evidence.

• Use of current explanations in multicausal abductive reasoning - Cognitive Science, 2001. [All Versions].

• Kinematic mental simulations in abduction and deduction - Proceedings of the National Academy of Sciences, 2013. [All Versions]. This paper presents a theory, and its computer implementation, of how mental simulations underlie the abductions of informal algorithms and deductions from these algorithms. Three experiments tested the theory’s predictions, using an environment of a single railway track and a siding. The results corroborated the use of a kinematic mental model in creating and testing informal algorithms and showed that individuals differ reliably in the ability to carry out these tasks.

• Abduction: A categorical characterization - Journal of Applied Logic, 2015. [All Versions].

• Defending Abduction - Philosophy of Science, 1999. [All Versions].

• Abduction − the context of discovery + underdetermination = inference to the best explanation - Synthese, 2019. [All Versions].

• Towards an Architecture for Cognitive Vision Using Qualitative Spatio-temporal Representations and Abduction - Spatial Cognition, 2002. [All Versions].

• Abductive inference within a pragmatic framework - Synthese, 2018. [All Versions].

• Disjunctive Abduction - New Generation Computing, 2019. [All Versions].

• The order effect in human abductive reasoning: an empirical and computational study - Journal of Experimental & Theoretical Artificial Intelligence, 2006. [All Versions].

• The AHA! Experience: Creativity Through Emergent Binding in Neural Networks - Cognitive Science, 2012. [All Versions].

Abduction / Scientific Discovery

• Exploring science: The cognition and development of discovery processes - MIT Press, 2000. [All Versions]. In this book, D. Klahr sets out to describe the cognitive and developmental processes that have enabled scientists to make the discoveries that comprise the body of information we call "scientific knowledge." Over the past decade, Klahr and his colleagues have conducted laboratory experiments in which they create discovery contexts, computer-based environments, to evoke the kind of thinking characteristic of scientific discovery in the "real world." In attempting to solve the problems posed by the discovery tasks, experiment participants (from preschoolers to university students) use many of the same higher-order cognitive processes used by practicing scientists. Through his work, Klahr integrates two disparate approaches–the content-based approach and the process-based approach– to present a comprehensive model of the psychology of scientific discovery.

• Hypothesis generation, sparse categories, and the positive test strategy - Psychological Review, 2011. [All Versions].

Abduction / Applications in AI

• Abductive Inference in Bayesian Networks: A Review - Advances in Bayesian Networks, 2004. [All Versions]. The goal of this paper is to serve as a survey for the problem of abductive inference (or belief revision) in Bayesian networks. Thus, the problem is introduced in its two variants: total abduction (or MPE) and partial abduction (or MAP) . Also, the problem is formulated in its general case, that is, looking for the K best explanations. Then, a (non exhaustive) review of exact and approximate algorithms for dealing with both abductive inference problems is carried out. Finally, the authors collect the main complexity results appeared in the literature for both problems (MPE and MAP).

• Abductive Plan Recognition by Extending Bayesian Logic Programs - ECML'11, 2011. [All Versions].

• An Approach to Abductive Reasoning in Equational Logic - IJCAI'13, 2013. [All Versions].

• Abduction-Based Explanations for Machine Learning Models - AAAI'19, 2019. [All Versions].

Bayesian Modeling / Nonparametric Model

• Learning Systems of Concepts with an Infinite Relational Model - AAAI'06, 2006. [All Versions].

• The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies - Journal of the ACM, 2010. [All Versions].

Susan Carey / Commonsense Knowledgebase

• Conceptual Change in Childhood - MIT Press, 1985. [All Versions].

• The Origin of Concepts - Oxford University Press, 2009. [All Versions].

Communications / Non-Verbal Communication

• The Picture Exchange Communication System - Behavior Modification, 1994. [All Versions].

• A multimodal discourse theory of visual narrative - Journal of Pragmatics, 2014. [All Versions].

Communications / Pragmatics

• How young children integrate information sources to infer the meaning of words - Nature Human Behavior, 2021. [All Versions]. Before formal education begins, children typically acquire a vocabulary of thousands of words. This learning process requires the use of many different information sources in their social environment, including their current state of knowledge and the context in which they hear words used. This paper specifies a developmental model according to which children consider information sources in an age-specific way and integrate them via Bayesian inference. This work presents a developmental theory of information integration during language learning and illustrates how formal models can be used to make a quantitative test of the predictive and explanatory power of competing theories.

• Information Structure in Discourse: Towards an Integrated Formal Theory of Pragmatics - Semantics and Pragmatics, 1998. [All Versions].

Communications / Language Compositionality

• Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols - NeurIPS'18, 2018. [All Versions].

• Emergent communication through negotiation - ICLR'18, 2018. [All Versions].

• The language of generalization - Psychological Review, 2019. [All Versions].

• Compositionality and Generalization in Emergent Languages - ACL'20, 2020. [All Versions].

Domain Specific Language / Declarative DSL Applications

• A Language for Counterfactual Generative Models - ICML'21, 2021. [All Versions]. [Project (⭐165)]. This paper presents Omega, a probabilistic programming language with support for counterfactual inference. This feature is accomplished by introducing a new operator to probabilistic programming akin to Pearl’s do.

Problem Solving / Human-Level Problem Solving

• Learning to Solve Problems: A Handbook for Designing Problem-Solving Learning Environments - Taylorfrancis, 2010. [All Versions].

• Learning to perceive and act by trial and error - Machine Learning, 1991. [All Versions].

• Representations in distributed cognitive tasks - Cognitive Science, 1994. [All Versions].

• The nature of external representations in problem solving - Cognitive Science, 1997. [All Versions].

• Exploration: from machines to humans - Current Opinion in Behavioral Sciences, 2020. [All Versions].

• Balancing exploration and exploitation with information and randomization - Current Opinion in Behavioral Sciences, 2021. [All Versions].

• Hippocampal neurons construct a map of an abstract value space - Cell, 2021. [All Versions].

Problem Solving / Planning

• What Is the Model in Model-Based Planning? - Cognitive Science, 2021. [All Versions].

Problem Solving / Reinforcement Learning

• Solving Compositional Reinforcement Learning Problems via Task Reduction - ICLR'21, 2021. [All Versions].

• Neural Task Programming: Learning to Generalize Across Hierarchical Tasks - ICRA'18, 2018. [All Versions].

• Learning to act: qualitative learning of deterministic action models - Journal of Logic and Computation, 2017. [All Versions].

• Learning to Act and Observe in Partially Observable Domains - 2021. [All Versions].

• Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation - Robotics and Automation Letters, 2021. [All Versions].

Problem Solving / Inverse Reinforcement Learning

• From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following - ICLR'19, 2019. [All Versions].

• Few-shot Bayesian imitation learning with logical program policies. - AAAI'20, 2020. [All Versions].

System 1 & System 2 / Neural-Symbolic AI

• Neural Logic Reinforcement Learning - ICML'19, 2019. [All Versions].

• Abductive learning: towards bridging machine learning and logical reasoning - Science China Information Sciences, 2019. [All Versions].

• Abductive Knowledge Induction From Raw Data - IJCAI'21, 2021. [All Versions].

• Making sense of sensory input - Artificial Intelligence, 2021. [All Versions].

• Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution - CVPR'21, 2021. [All Versions].

• Learn to explain efficiently via neural logic inductive learning - ICLR'20, 2020. [All Versions]. [Project (⭐42)].

• Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning - ICML'20, 2020. [All Versions].

• Generating new concepts with hybrid neuro-symbolic models. - CogSci'20, 2020. [All Versions].

• Learning Task-General Representations with Generative Neuro-Symbolic Modeling - ICLR'21, 2021. [All Versions].

• Neuro-Symbolic Visual Reasoning: Disentangling “Visual” from “Reasoning” - ICML'20, 2020. [All Versions].

• Understanding Deep Architectures with Reasoning Layer - NeurIPS'20, 2020. [All Versions].

• An Explicitly Relational Neural Network Architecture - ICML'20, 2020. [All Versions].

• Compositional Generalization via Neural-Symbolic Stack Machines - NeurIPS'20, 2020. [All Versions].

• Stochastic Optimization of Sorting Networks via Continuous Relaxations - ICLR'19, 2019. [All Versions].

• Program Guided Agent - ICLR'20, 2020. [All Versions].

• Learning Compositional Rules via Neural Program Synthesis - NeurIPS'20, 2020. [All Versions].

• Discovering Symbolic Models from Deep Learning with Inductive Biases - NeurIPS'20, 2020. [All Versions].

• Neural Logic Machines - ICLR'19, 2019. [All Versions].

• The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision - ICLR'19, 2019. [All Versions].

• Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning - ICLR'21, 2021. [All Versions].

• Temporal and Object Quantification Networks - IJCAI'21, 2021. [All Versions].

Explainability / Explainable Deep Learning

• Unsupervised learning by competing hidden units - Proceedings of the National Academy of Sciences, 2019. [All Versions].

Embodied Intelligence / Explainable Deep Learning

• Rapid Assimilation of External Objects Into the Body Schema - Psychological Science, 2010. [All Versions].

• The cognitive bases of human tool use - Behavioral and Brain Sciences, 2012. [All Versions].

• The embodied mind extended: using words as social tools - Frontiers in Psychology, 2013. [All Versions].

• Tool use as adaptation - Philosophical Transactions of the Royal Society B: Biological Sciences, 2013. [All Versions].

• Intensive tool-practice and skillfulness facilitate the extension of body representations in humans - Neuropsychologia, 2014. [All Versions].

• Meta-strategy learning in physical problem-solving: the effect of embodied experience - CogSci'21, 2021. [All Versions]. [Preprint]. This paper focuses on how natural embodied experience affects what kinds of abstract physical problem-solving strategies people use in a virtual task. The findings suggest that differences in embodied experience drive the acquisition of different meta-strategies for balancing acting with thinking, deciding what kinds of actions to try, and deciding how persistent to be with a current action plan.

• Robotic hand augmentation drives changes in neural body representation - Science Robotics, 2021. [All Versions].

• Expert Tool Users Show Increased Differentiation between Visual Representations of Hands and Tools - Journal of Neuroscience, 2021. [All Versions].

• Visual scoping operations for physical assembly - CogSci'21, 2021. [All Versions].

• Behavior-grounded representation of tool affordances - ICRA'05, 2005. [All Versions].

• A Relational Approach to Tool-Use Learning in Robots - ILP'12, 2012. [All Versions].

• Relational affordances for multiple-object manipulation - Autonomous Robots, 2017. [All Versions].

• Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight - RSS'19, 2019. [All Versions].

Methodologies for Experiments / Human-Machine Comparison

• Problem Solving and Rule Induction: A Unified View - Knowledge and cognition, 1974. [All Versions].

• Evidence integration in model-based tree search - Proceedings of the National Academy of Sciences, 2015. [All Versions].

• People Infer Recursive Visual Concepts from Just a Few Examples - Computational Brain & Behavior, 2020. [All Versions].

• One-shot learning of generative speech concepts - CogSci'14, 2014. [All Versions].

• Human few-shot learning of compositional instructions - CogSci'19, 2019. [All Versions].

• Fast and flexible: Human program induction in abstract reasoning tasks - CogSci'21, 2021. [All Versions].

• Investigating Human Priors for Playing Video Games - ICML'18, 2018. [All Versions].

• Tasks for aligning human and machine planning - Current Opinion in Behavioral Sciences, 2019. [All Versions].

Meta-Level Considerations / The Aha! Moment

• Human Performance on Insight Problem Solving: A Review - The Journal of Problem Solving, 2011. [All Versions].

Meta-Level Considerations / Cognitive Architecture

• SOAR: An architecture for general intelligence - Artificial Intelligence, 1987. [All Versions].

• Metacognition in computation: A selected research review - Artificial Intelligence, 2005. [All Versions].

• Basic functional trade-offs in cognition: An integrative framework - Cognition, 2018. [All Versions].

• A Theoretical Computer Science Perspective on Consciousness - Journal of Artificial Intelligence and Consciousness, 2020. [All Versions].

Theory of Mind / AI Assisted Research

• The Signature of All Things: Children Infer Knowledge States from Static Images - CogSci'20, 2020. [All Versions].

• Rational quantitative attribution of beliefs, desires and percepts in human mentalizing - Nature Human Behavior, 2017. [All Versions]. [Preprint]. This paper presents a model of core mentalizing computations: inferring jointly an actor’s beliefs, desires and percepts from how they move in the local spatial environment. The proposed Bayesian theory of mind (BToM) model is based on probabilistically inverting artificial-intelligence approaches to rational planning and state estimation, which extend classical expected-utility agent models to sequential actions in complex, partially observable domains.

• Theory of mind as inverse reinforcement learning - Current Opinion in Behavioral Sciences, 2019. [All Versions]. This paper reviews the idea that Theory of Mind --- humans' ability to reason about other people's mental states --- can be formalized as inverse reinforcement learning. Under this framework, expectations about how mental states produce behavior are captured in a reinforcement learning (RL) model. Predicting other people’s actions is achieved by simulating a RL model with the hypothesized beliefs and desires, while mental-state inference is achieved by inverting this model. Although many advances in inverse reinforcement learning (IRL) did not have human Theory of Mind in mind, this paper focuses on what they reveal when conceptualized as cognitive theories.

• Computational Models of Emotion Inference in Theory of Mind: A Review and Roadmap - Topics in Cognitive Science, 2019. [All Versions]. This paper proposes an intuitive theory framework to studying affective cognition—how humans reason about emotions—and derive a taxonomy of inferences within affective cognition. Using this taxonomy, the authors review formal computational modeling work on such inferences, including causal reasoning about how others react to events, reasoning about unseen causes of emotions, reasoning with multiple cues, as well as reasoning from emotions to other mental states. This framework proposes unifying these various types of reasoning as Bayesian inference within a common “intuitive Theory of Emotion.”

• The Naïve Utility Calculus as a unified, quantitative framework for action understanding - Cognitive Psychology, 2021. [All Versions]. [Project]. This paper presents a formal theory of the Naïve Utility Calculus as a probabilistic generative model, which highlights the role of cost and reward tradeoffs in a Bayesian framework for action-understanding. The model predicts with quantitative accuracy how people infer agents’ subjective costs and rewards based on their observable actions. By distinguishing between desires, goals, and intentions, the model extends to complex action scenarios unfolding over space and time in scenes with multiple objects and multiple action episodes.

• Leveraging Facial Expressions and Contextual Information to Investigate Opaque Representations of Emotion - Emotion, 2019. [All Versions].

• Waiting and weighting: Information sampling is a balance between efficiency and error-reduction - Cognition, 2013. [All Versions].

• Natural scene statistics account for the representation of scene categories in human visual cortex - Neuron, 2013. [All Versions].

• Unit of visual working memory: A Boolean map provides a better account than an object does - Journal of Experimental Psychology, 2020. [All Versions].

• The logic of universalization guides moral judgment - Proceedings of the National Academy of Sciences, 2020. [All Versions].

• Origins of the concepts cause, cost, and goal in prereaching infants - Proceedings of the National Academy of Sciences, 2019. [All Versions].

Analogy / AI Assisted Research

• Generalize and Blend: Concept Blending Based on Generalization, Analogy, and Amalgams - ICCC'15, 2015. [All Versions].

• VISALOGY: Answering Visual Analogy Questions - NeurIPS'15, 2015. [All Versions].

• Detecting Unseen Visual Relations Using Analogies - CVPR'19, 2019. [All Versions].

• Learning to Make Analogies by Contrasting Abstract Relational Structure - ICLR'19, 2019. [All Versions].

• Sky + Fire = Sunset. Exploring Parallels between Visually Grounded Metaphors and Image Classifiers - ACL'20, 2020. [All Versions].

• Analogy as Nonparametric Bayesian Inference over Relational Systems - CogSci'20, 2020. [All Versions].

Causality / AI Assisted Research

• Causal Reasoning - The Oxford Handbook of Cognitive Psychology, 2013. [All Versions].

• Inferring causal networks from observations and interventions - Cognitive Science, 2010. [All Versions].

• Constraints on Hypothesis Selection in Causal Learning - CogSci'15, 2015. [All Versions].

• What happened? Reconstructing the past through vision and sound - 2021. [All Versions].

Commonsense / AI Commonsense Reasoning

• From Recognition to Cognition: Visual Commonsense Reasoning - CVPR'19, 2019. [All Versions]. [Project].

• PIQA: Reasoning about Physical Commonsense in Natural Language - AAAI'20, 2020. [All Versions].

• Visual Commonsense R-CNN - CVPR'20, 2020. [All Versions].

• VisualCOMET: Reasoning About the Dynamic Context of a Still Image - ECCV'20, 2020. [All Versions].

Inductive Logic & Program Synthesis / Commonsense Knowledgebase

• Towards combining inductive logic programming with Bayesian networks - ILP'01, 2001. [All Versions].

• Learning Efficient Logical Robot Strategies Involving Composable Objects - IJCAI'15, 2015. [All Versions].

• Learning Higher-Order Logic Programs through Abstraction and Invention - IJCAI'16, 2016. [All Versions].

• How Much Can Experimental Cost Be Reduced in Active Learning of Agent Strategies? - ILP'18, 2018. [All Versions].

• Meta-Interpretive Learning from noisy images - Machine Learning, 2018. [All Versions].

• Learning efficient logic programs - Machine Learning, 2018. [All Versions].

• Learning higher-order logic programs - Machine Learning, 2019. [All Versions].

• Logical reduction of metarules - Machine Learning, 2019. [All Versions].

• Playgol: Learning Programs Through Play - IJCAI'19, 2019. [All Versions].

• Machine Discovery of Comprehensible Strategies for Simple Games Using Meta-interpretive Learning - New Generation Computing, 2019. [All Versions].

• Forgetting to Learn Logic Programs - AAAI'20, 2020. [All Versions].

• Turning 30: New Ideas in Inductive Logic Programming - IJCAI'20, 2020. [All Versions].

• Learning programs by learning from failures - Machine Learning, 2020. [All Versions].

• Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning - IJCAI'20, 2020. [All Versions].

• Meta-Interpretive Learning as Metarule Specialisation - Machine Learning, 2021. [All Versions].

• Derivative-free optimization of high-dimensional non-convex functions by sequential random embeddings - IJCAI'16, 2016. [All Versions].

• Finitely Generated Groups and First-Order Logic - Journal of The London Mathematical Society-second Series, 2005. [All Versions].

• Leveraging Language for Abstraction and Program Search - ICML'20, 2020. [All Versions].

• Learning Part-Based Abstractions for Visual Object Concepts - CogSci'21, 2021. [All Versions].

Knowledge Representation / Commonsense Knowledgebase

• The Analysis of Knowledge - Plato Stanford.

• Common Knowledge - Plato Stanford.

• Sense-Data - Plato Stanford.

• Epistemic Modal Logic - Wikipedia.

• Logics for Epistemic Programs - Synthese, 2004. [All Versions].

• A Translation Approach to Portable Ontology Specifications - Knowledge Acquisition, 1993. [All Versions].

• The Symbolic Grounding Problem - Physica D: Nonlinear Phenomena, 1990. [All Versions].

• Learning overhypotheses with hierarchical Bayesian models - Developmental Science, 2007. [All Versions].

• Learning Causal Schemata - CogSci'07, 2007, [All Versions].

• A Rational Analysis of Rule-Based Concept Learning - Cognitive Science, 2008. [All Versions].

• Modeling semantic cognition as logical dimensionality reduction - CogSci'08, 2008. [All Versions].

• Theory Acquisition as Stochastic Search - CogSci'10, 2010. [All Versions].

• A probabilistic model of theory formation - Cognition, 2010. [All Versions].

• Bootstrapping in a language of thought: A formal model of numerical concept learning - Cognition, 2012. [All Versions].

• Exploring the Conceptual Universe - Psychological Review, 2012. [All Versions].

• A taxonomy of inductive problems - Psychonomic Bulletin & Review, 2014. [All Versions].

• The Logical Primitives of Thought: Empirical Foundations for Compositional Cognitive Models - Psychological Review, 2016. [All Versions].

• The Emergence of Organizing Structure in Conceptual Representation - Cognitive Science, 2018. [All Versions].

• Theory Acquisition as Constraint-Based Program Synthesis - CogSci'21, 2021. [All Versions].

• Connecting perceptual and procedural abstractions in physical construction - CogSci'21, 2021. [All Versions].

• Invariant representation of physical stability in the human brain - 2021. [All Versions].

• Introduction to The Fluent Calculus - Linkoeping University Electronic Press, 1998. [All Versions].

• From situation calculus to fluent calculus: State update axioms as a solution to the inferential frame problem - Artificial Intelligence, 1999. [All Versions].

• Algorithms of Adaptation in Inductive Inference - Cognitive Psychology, 2021. [All Versions].

• A representational analysis of numeration systems - Cognition, 1995. [All Versions].

Cognitive Development / Commonsense Knowledgebase

• Cognitive development: An information processing approach - B.Blackwell, 1991. [All Versions].

• From exploration to play: A cross-sectional study of infant free play behavior - Developmental Psychology, 1981. [All Versions].

• Detecting Blickets: How Young Children Use Information about Novel Causal Powers in Categorization and Induction - Children Development, 2003. [All Versions].

• Serious fun: Preschoolers engage in more exploratory play when evidence is confounded - Developmental Psychology, 2007. [All Versions].

• Where science starts: Spontaneous experiments in preschoolers' exploratory play - Cognition, 2011. [All Versions].

• Scientific thinking in young children: Theoretical advances, empirical research, and policy implications - Science, 2012. [All Versions].

• Finding New Facts; Thinking New Thoughts - Advances in Child Development and Behavior, 2012. [All Versions].

• Theory learning as stochastic search in the language of thought - Cognitive Development, 2012. [All Versions].

• Infants make more attempts to achieve a goal when they see adults persist - Science, 2017. [All Versions].

• Knowing when to quit: Children consider access to solutions when deciding whether to persist - CogSci'20, 2020. [All Versions].

• Bayesian Models of Conceptual Development: Learning as Building Models of the World - Annual Review of Developmental Psychology, 2020. [All Versions].

• Sticking to the Evidence? A Behavioral and Computational Case Study of Micro-Theory Change in the Domain of Magnetism - Cognitive Science, 2019. [All Versions].

• Cognitive pragmatism: Children flexibly choose between facts and conjectures - CogSci'18, 2018. [All Versions].

• Exploratory play, rational action, and efficient search - CogSci'20, 2020. [All Versions].

• Children selectively endorse speculative conjectures - Child Development, 2021. [All Versions].

• Learning higher-order generalizations through free play: Evidence from 2- and 3-year-old children - Developmental Psychology, 2017. [All Versions].

• Childhood as a solution to explore–exploit tensions - Philosophical Transactions of the Royal Society B: Biological Sciences, 2020. [All Versions].

• Children's exploratory play tracks the discriminability of hypotheses - Nature Communications, 2021. [All Versions].

• A Developmental Perspective on Executive Function - Child Development, 2010. [All Versions].

• Rethinking Executive Function and Its Development - Psychological Science, 2020. [All Versions].

Learning in the Open World / Commonsense Knowledgebase

• Online learning of symbolic concepts - Journal of Mathematical Psychology, 2017. [All Versions].

• Towards Open Set Deep Networks - CVPR'16, 2016. [All Versions].

• Adversarial Filters of Dataset Biases - ICML'20, 2020. [All Versions].

• A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning - 2020. [All Versions].

• Energy-Based Models for Continual Learning - NeurIPS'20, 2020. [All Versions]. [Project].

• Learning to Learn Image Classifiers with Visual Analogy - CVPR'18, 2018. [All Versions].

• Zero-Shot Object Detection - ECCV'18, 2018. [All Versions].

• Towards Open World Object Detection - CVPR'21, 2021. [All Versions]. [Project (⭐1k)].

• Learning to Recognise Unseen Classes by A Few Similes - MM'17, 2017. [All Versions].

Learning with Cognitive Plausibility / Commonsense Knowledgebase

• Cognitive Science: Definition, Status, and Questions - Annual Review of Psychology, 1989. [All Versions].

• Machine Behaviour - Nature, 2019. [All Versions].

• CLEVRER: CoLlision Events for Video REpresentation and Reasoning - ICLR'20, 2020. [All Versions].

• The relationship between Precision-Recall and ROC curves - ICML'06, 2006. [All Versions].

• Distributional Generalization: A New Kind of Generalization - 2020. [All Versions].

• Language acquisition in the absence of explicit negative evidence: how important is starting small? - Cognition, 1999. [All Versions].

• Parsing video events with goal inference and intent prediction - ICCV'11, 2011. [All Versions].

• Explainable and Explicit Visual Reasoning over Scene Graphs - CVPR'19, 2019. [All Versions].

• Motion Reasoning for Goal-Based Imitation Learning - ICRA'20, 2020. [All Versions].

• Action Genome: Actions as Compositions of Spatio-temporal Scene Graphs - CVPR'20, 2020. [All Versions].

• Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals - NeurIPS'20, 2020. [All Versions].

• Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks - CVPR'20, 2020. [All Versions].

• Putting visual object recognition in context - CVPR'20, 2020. [All Versions].

• Multimodal Few-Shot Learning with Frozen Language Models - 2021. [All Versions].

• Describing Objects by their Attributes - CVPR'09, 2009. [All Versions].

• Panoramic Learning with A Standardized Machine Learning Formalism - 2021. [All Versions].

MIT / Commonsense Knowledgebase

• Center for Brains, Minds and Machines (CBMM) - MIT.

• Rebecca Saxe - Department of Brain and Cognitive Sciences, MIT, Social Cognitive Neuroscience Laboratory (SaxeLab) - MIT.

• Laura Schulz - Department of Brain and Cognitive Sciences, MIT, Early Childhood Cognition Lab - MIT.

Stanford / Commonsense Knowledgebase

• Tobias Gerstenberg - Department of Psychology, Stanford, Causality in Cognition Lab (CICL) - Stanford.

Princeton / Commonsense Knowledgebase

• Tania Lombrozo - Department of Psychology, Princeton, Concepts & Cognition Lab - Princeton.

UC Berkeley / Commonsense Knowledgebase

• Fei Xu - Department of Psychology, UC Berkeley, Berkeley Early Learning Lab (Xu Lab) - UC Berkeley.

• Alison Gopnik - Department of Psychology, UC Berkeley, Cognitive Development & Learning Lab (Gopnik Lab) - UC Berkeley.

• Steve Piantadosi - Department of Psychology, UC Berkeley, The computation and language lab (colala) - UC Berkeley.

• Celeste Kidd - Department of Psychology, UC Berkeley, Kidd Lab - UC Berkeley.

UCSD / Commonsense Knowledgebase

• Zhuowen Tu - Department of Computer Science, UCSD, Machine Learning, Perception, and Cognition Lab (mlPC) - UCSD.

• Ed Vul - Department of Psychology, UCSD, Computational Cognition Lab - UCSD.

NYU / Commonsense Knowledgebase

• Brenden Lake - Department of Psychology, NYU, Human & Machine Learning Lab (Lake Lab) - NYU.

• Todd Gureckis - Department of Psychology, NYU, Computation & Cognition Lab - NYU.

• Wei Ji Ma - Department of Psychology, Center for Neural Science, NYU, Wei Ji Ma Lab - NYU.

Ulf Grenander / Commonsense Knowledgebase

• A Calculus of Ideas: A Mathematical Study of Thinking - World Scientific Publishing Company, 2012. [All Versions].

• General Pattern Theory: A Mathematical Study of Regular Structures - Oxford University Press, 1993. [All Versions].

Michael Tomasello / Commonsense Knowledgebase

• Origins of human communication - MIT Press, 2010. [All Versions].

• The cultural origins of human cognition - Havard University Press, 2000. [All Versions].

Judea Pearl / Commonsense Knowledgebase

• The Book of Why: The New Science of Cause and Effect - Basic Books, 2018. [All Versions].

• Causality: Models, Reasoning and Inference - Cambridge University Press, 2009. [All Versions].

Daniel Kahneman / Commonsense Knowledgebase

• Thinking, fast and slow - Farrar Straus Giroux, 2011. [All Versions].

9. Free for Dev

Web Hosting

• Alwaysdata — 100 MB free web hosting with support for MySQL, PostgreSQL, CouchDB, MongoDB, PHP, Python, Ruby, Node.js, Elixir, Java, Deno, custom web servers, access via FTP, WebDAV and SSH; mailbox, mailing list and app installer included.

10. Awesome Code Review

Articles

• Modern Code Reviews Arguably belongs in academic paper, but it's a website giving an overview of evidence on code review by facet/context. Links off to a bunch of papers.

11. Awesome Ci

• Name: Woodpecker

  Description: Continuous Integration service

  Features: Woodpecker is a community fork of the Drone CI system.

  Supported repositories: GitHub, GitLab, Gitea, BitBucket, Custom

  Documentation: Documentation

  Price: Free Open Source (Apache License 2.0)

  Stars:

12. Awesome Capacitor

Official plugins

• Action Sheet (⭐546) - Provides access to native Action Sheets.

• App Launcher (⭐546) - Allows to check if an app can be opened and open it.

• Browser (⭐546) - Provides the ability to open an in-app browser and subscribe to browser events.

• Camera (⭐546) - Provides the ability to take a photo with the camera or choose an existing one from the photo album.

• Clipboard (⭐546) - Enables copy and pasting to/from the system clipboard.

• Dialog (⭐546) - Provides methods for triggering native dialog windows for alerts, confirmations, and input prompts.

• Geolocation (⭐546) - Provides simple methods for getting and tracking the current position of the device using GPS, along with altitude, heading, and speed information if available.

• Haptics (⭐546) - Provides physical feedback to the user through touch or vibration.

• Keyboard (⭐546) - Provides keyboard display and visibility control, along with event tracking when the keyboard shows and hides.

• Local Notifications (⭐546) - Provides a way to schedule device notifications locally (i.e. without a server sending push notifications).

• Motion (⭐546) - Tracks accelerometer and device orientation (compass heading, etc.).

• Network (⭐546) - Provides network and connectivity information.

• Push Notifications (⭐546) - Provides access to native push notifications.

• Share (⭐546) - Provides methods for sharing content in any sharing-enabled apps the user may have installed.

• Splash Screen (⭐546) - Provides methods for showing or hiding a Splash image.

• Status Bar (⭐546) - Provides methods for configuring the style of the Status Bar, along with showing or hiding it.

• Text Zoom (⭐546) - Provides the ability to change Web View text size for visual accessibility.

Community plugins

• Admob (⭐232) - A native plugin for AdMob.

• Apple sign in (⭐148) - Capacitor Sign in with Apple.

• Background geolocation (⭐200) - Receive geolocation updates even while app is backgrounded.

• Barcode scanner (⭐440) - A fast and efficient QR / barcode scanner for Capacitor.

• Bluetooth-le (⭐302) - Bluetooth Low Energy.

• Camera preview (⭐196) - Camera preview.

• Googlemaps (⭐155) - Plugin using native Maps API for Android and iOS.

• Contacts (⭐125) - Contacts Plugin for Capacitor.

• Date picker (⭐89) - Native DateTime Picker Plugin for Capacitor Apps.

• Facebook Login (⭐107) - A native plugin for Facebook Login.

• Flipper (⭐11) - A native plugin for flipper debugger.

• Http (⭐210) - A native HTTP plugin for CORS-free requests and file transfers.

• Intercom (⭐62) - Enable Intercom features for Capacitor apps.

• Media (⭐112) - Enable some media features for Capacitor such as create albums, save videos, gifs and more.

• Native audio (⭐122) - A native plugin for native audio engine.

• Native market (⭐27) - A native market plugin for linking to google play or app store.

• React hooks (⭐252) - React Hooks for Capacitor apps.

• Realm (⭐25) - A native plugin for MongoDB Realm.

• Speech recognition (⭐97) - A native plugin for speech recognition.

• Sqlite (⭐526) - Native & electron SQLite databases.

• Stripe (⭐199) - Stripe SDK bindings for Capacitor Applications.

• Tauri (⭐118) - Support for the Tauri platform.

• Text to speech (⭐102) - Synthesizing speech from text.

• Twitter (⭐11) - Enable TwitterKit features for Capacitor.

• Uxcam (⭐5) - UXCam and FullStory analytics. It uses UXCam for Android and iOS platforms and FullStory for Web/PWA.

Other plugins

• App Tracking Transparency (⭐33) - Request user authorization to access app-related data for tracking the user or the device. iOS only.

• Brother Print (⭐13) - A native Brother Print SDK implementation for iOS & Android.

• Biometric (⭐189) - Use biometrics confirm device owner presence or authenticate users.

• Dark mode (⭐1) - Monitor the changes made to system's dark mode.

• Email composer (⭐22) - Open a native E-Mail Composer within your Capacitor App.

• Facebook Analytics (⭐5) - Facebook Analytics Plugin for Capacitor.

• File selector (⭐14) - Select files form Android/iOS devices and the web.

• Jitsi (⭐85) - Make video calls through the free, open-sourced Jitsi video platform.

• Lightsensor (⭐3) - Get the illuminance level on the device.

• Native settings (⭐98) - Open native settings screens.

• NativeScript
  • NativeScript Capacitor (⭐39) - Empower Capacitor with native APIs.
  • Augmented Reality (⭐118) - Add AR experiences.

• Navigation bar (⭐64) - Navigation Bar manipulation, hide/show.

• Rate app (⭐173) - Let users rate your app using native rate app dialog for both Android and iOS.

• Read sms (⭐1) - Read the user's SMS with their permission.

• Screenshot (⭐15) - Take a screenshot of the current view.

• Send intent (⭐12) - Expose a listener in your JavaScript application for when another application sends data to your Capacitor application via the Android share menu or share sheet.

• Sentry (⭐121) - Add Sentry error tracking and performance monitoring for Capacitor apps.

• Stripe terminal (⭐29) - Stripe Terminal Plugin for Capacitor.

• Sprig (⭐0) - All-in-one  product research platform.

• Square Payments (⭐2) - Enable Square Payments for Capacitor.

• Sumup (⭐4) - SumUp Mobile SDK.

13. Awesome Lidar

Datasets

• USyd Dataset- The Univerisity of Sydney Campus- Dataset - Long-term, large-scale dataset collected over the period of 1.5 years on a weekly basis over the University of Sydney campus and surrounds. It includes multiple sensor modalities and covers various environmental conditions. ROS compatible
  • Paper

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