Awesome List Updates on Sep 02 - Sep 08, 2019

43 awesome lists updated this week.

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1. Awesome Pagespeed Metrics

Interactivity metrics / Time to Interactive (TTI)

• Blogpost - TTI

Interactivity metrics / First Input Delay (FID)

• Lab: N/A (as it requires the user to interact with the page)

• Field: IE9+ (and Safari, Chrome, Firefox) (with polyfill - 0.4KB)

• Polyfill - FID (⭐349)

Network metrics / Max Potential First Input Delay

• Blogpost - Navigation and Resource Timing

• Spec - Navigation Timing

• Spec - Resource Timing

Other metrics / User Timing

• Field: IE 10+, Safari 11+ (and Chrome, Firefox of course)

• Spec - User Timing

Other metrics / Frame rate

• Lab: Chrome and FF Devtools

• Field: No browser implements the Frame Timing API yet but you can roll your own fps meter using requestAnimationFrame

• Docs - Frame Timing API

• Docs - Chrome Devtools - FPS

• Docs - Firefox Developer Tools - Frame rate

2. Awesome Ros2

Packages / Application layer

• vision_opencv (⭐458) - Packages for interfacing ROS2 with OpenCV.

3. Awesome Quantum Computing

Development Tools

• Quantum++ (⭐445) - High performance modern C++11 quantum computing library.

4. Awesome Ruby

Database Tools

• Rein (⭐670) - Database constraints made easy for ActiveRecord.

5. Awesome Bigdata

SQL-like processing

• Apache HCatalog - table and storage management layer for Hadoop.

6. Free for Dev

APIs, Data, and ML

• IPTrace — An embarrassingly simple API that provides your business with reliable and helpful IP geolocation data.

7. Awesome Vue

Projects Using Vue.js / Open Source

• Vue Crypto Dashboard (⭐220) - Cryptocurrency Dashboard made with Vue.js

Components & Libraries / UI Components

• vue-sweetalert2 (⭐630) - wrapper for sweatlaert2 with support for TypeScript, Nuxt and SSR

• vue-modality (⭐5) - A really nice Vue.js modal component

8. Awesome Broadcasting

Animation, Graphics & Video Playout

• Nebula - Media asset management and broadcast automation system.

9. Awesome Ansible

Tools

• Ansible Lint (⭐3.1k) - Checks Playbooks for best practices and behavior that could potentially be improved.

10. Awesome Aws

Open Source Repos / Elastic Container Service

• ecs-demo-php-simple-app 🔥 (⭐154) - Simple PHP app.

Open Source Repos / Glacier

• vsespb/mt-aws-glacier 🔥🔥🔥 (⭐535) - Perl Multithreaded Multipart sync to Glacier.

Open Source Repos / S3

• rlmcpherson/s3gof3r 🔥🔥🔥🔥 (⭐1.1k) - Fast, concurrent, streaming access, includes a CLI.

11. Awesome Computational Neuroscience

U.S. West / University of California, Los Angeles

• Admission to UCLA Interdepartmental Ph.D. program in Neuroscience. GRE general test required to: R4837 Field code: 0213

12. Awesome Pentest

Anti-virus Evasion Tools / Tor Tools

• CarbonCopy (⭐1.2k) - Tool that creates a spoofed certificate of any online website and signs an Executable for AV evasion.

13. Awesome Security

Endpoint / Forensics

• Meerkat (⭐403) - PowerShell-based Windows artifact collection for threat hunting and incident response.

14. Awesome Amazon Seller

Software and Tools

• aShop - Effortless microsites for Amazon Sellers. Marketing tool that delivers branded store experience to bring more business and maximize profits.

• Prisync - Price monitoring & tracking SaaS with dynamic pricing and automatching engine.

15. Awesome Code Review

Articles

• On Code Review Short article about tooling and personal elements of code review, from an ex-Facebook engineer.

16. Awesome Ios Books

Swift

• Pro Swift by Paul Hudson

17. Awesome Dotnet Core

Frameworks, Libraries and Tools / Database Tools and Utilities

• EFCorePowerTools (⭐1.8k) - Entity Framework Core Power Tools - reverse engineering, migrations and model visualization for EF Core.

Frameworks, Libraries and Tools / Misc

• JqueryDataTablesServerSide (⭐219) - ASP.NET Core Server Side Processing library for Jquery DataTables with Multiple Column Filtering, Sorting and Pagination at database level with Excel Export and TagHelper support.

18. Awesome Javascript

Form Widgets / Other

• analytics (⭐2.3k) - A lightweight, extendable analytics library designed to work with any third-party analytics provider to track page views, custom events, & identify users.

19. Awesome Selfhosted

Software / Learning and Courses

• OpenOLAT - OpenOLAT is a web-based learning management system for teaching, education, assessment and communication. (Demo, Source Code (⭐280)) Apache-2.0 Java

Software / Maps and Global Positioning System (GPS)

• OpenStreetMap - Collaborative project to create a free editable map of the world. (Source Code (⭐2k), Clients) GPL-2.0 Ruby

Software / Miscellaneous

• ReleaseBell - Send release notifications for starred Github repos. (Source Code) MIT Nodejs

• Revive Adserver - World's most popular free, open source ad serving system. Formerly known as OpenX Adserver and phpAdsNew. (Source Code (⭐1.2k)) GPL-2.0 PHP

Software / Proxy

• sish (⭐3.7k) - HTTP(S)/WS(S)/TCP tunnels to localhost using only SSH (serveo/ngrok alternative). MIT Go/Docker

20. Awesome Composer

Plugins / IRC

• Composer-Downloads-Plugin (⭐5) - Lightweight mechanism to download external resources (ZIP/TAR files) with only a url and path.

Setup a Packagist Mirror / IRC

• Packagist Mirror (⭐172) - This script helps to setup a packagist mirror. It is the maintained and stable version of Packagist Crawler (⭐57).

Packagist-compatible repositories / IRC

• Firegento - A Composer Repository providing Magento Modules.

21. Awesome Opengl

Profile Loaders

• glbindify (⭐3) - Command line tool to generate C bindings for OpenGL, wgl, and glX.

Videos

• Jamie King - Comprehensive tutorials about modern OpenGL and Qt.

22. Awesome Hbase

Infrastructure / Transactions

• Omid (⭐76) - Transactional support for HBase.

23. Awesome React Native

UI

• react-native-sortable-gridview ★4 - A React Native sortable and draggable Grid View Component.

24. Awesome Algorithms

Books / Algorithms and Data structures

• Algorithms and Data Structures in Action - A different and a great way to introduce algorithms and data structures that can be used at work.

Github Libraries / Randomized Algorithms

• JavaScript
  • by @jiayihu (⭐2.2k)
  • by @felipernb (⭐3.7k)
  • by @nzakas (⭐8.9k)
  • by @duereg (⭐920)
  • by @mgechev (⭐7.7k)
  • by @trekhleb (⭐175k)
  • by @ManrajGrover (⭐190)
  • by @amejiarosario (⭐7.4k)
  • by @zonayedpca (⭐98)

25. Awesome Ipfs

Tools

• orbit-db (⭐8k) - OrbitDB is a serverless, distributed, peer-to-peer database that uses IPFS as its data storage and IPFS Pubsub to automatically sync databases with peers.

Services & Platforms

• Peergos - Your private, but social, space online. Store and edit documents and media. Share files or folders with friends.

26. Awesome Blazor

E-Books / Others

• An Introduction to Building Applications with Blazor - August 24, 2019 - An Introduction to Building Applications with Blazor: How to get started creating applications using this exciting easy to use Microsoft C# framework

27. Awesome Mac

Reading and Writing Tools / RSS

• NetNewsWire - It’s a free and open source feed reader for macOS.

Developer Tools / API Development and Analysis

• Paw - Advanced HTTP client.

Developer Tools / Command Line Tools

• nushell (⭐29k) - nushell is a modern, GitHub-era shell written in Rust.

28. Awesome Streaming

Table of Contents / Streaming Engine

• Gearpump (⭐765) [Scala] - lightweight real-time distributed streaming engine built on Akka.

29. Awesome Swift

UI / Barcode

• FlexibleHeader (⭐71) - A container view that responds to scrolling of UIScrollView.

• OverlayContainer (⭐1.1k) - OverlayContainer makes it easier to develop overlay based interfaces, such as the one presented in the Apple Maps or Stocks apps.

Alert / Barcode

• AwaitToast (⭐143) - 🍞 An async waiting toast with basic toast. Inspired by facebook posting toast.

30. Tools

Color

• Image Color Picker

31. Awesome Python Data Science

Machine Learning / General Purpose Machine Learning

• scikit-learn - Machine learning in Python.

• xLearn (⭐3.1k) - High Performance, Easy-to-use, and Scalable Machine Learning Package.

• cuML (⭐3.6k) - RAPIDS Machine Learning Library.

• modAL (⭐2k) - Modular active learning framework for Python3.

• Sparkit-learn (⭐1.1k) - PySpark + scikit-learn = Sparkit-learn.

• mlpack (⭐4.6k) - A scalable C++ machine learning library (Python bindings).

• dlib (⭐12k) - Toolkit for making real-world machine learning and data analysis applications in C++ (Python bindings).

• MLxtend (⭐4.5k) - Extension and helper modules for Python's data analysis and machine learning libraries.

• Reproducible Experiment Platform (REP) (⭐676) - Machine Learning toolbox for Humans.

• scikit-multilearn (⭐871) - Multi-label classification for python.

• seqlearn (⭐666) - Sequence classification toolkit for Python.

• pystruct (⭐664) - Simple structured learning framework for Python.

• RuleFit (⭐388) - Implementation of the rulefit.

• metric-learn (⭐1.3k) - Metric learning algorithms in Python.

• pyGAM (⭐809) - Generalized Additive Models in Python.

Machine Learning / Gradient Boosting

• XGBoost (⭐25k) - Scalable, Portable, and Distributed Gradient Boosting.

• LightGBM (⭐16k) - A fast, distributed, high-performance gradient boosting.

• CatBoost (⭐7.4k) - An open-source gradient boosting on decision trees library.

• ThunderGBM (⭐675) - Fast GBDTs and Random Forests on GPUs.

Machine Learning / Ensemble Methods

• ML-Ensemble - High performance ensemble learning.

• Stacking (⭐204) - Simple and useful stacking library written in Python.

• stacked_generalization (⭐116) - Library for machine learning stacking generalization.

• vecstack (⭐677) - Python package for stacking (machine learning technique).

Machine Learning / Imbalanced Datasets

• imbalanced-learn (⭐6.5k) - Module to perform under-sampling and over-sampling with various techniques.

• imbalanced-algorithms (⭐226) - Python-based implementations of algorithms for learning on imbalanced data.

Machine Learning / Random Forests

• rpforest (⭐221) - A forest of random projection trees.

• sklearn-random-bits-forest (⭐9) - Wrapper of the Random Bits Forest program written by (Wang et al., 2016).

• rgf_python (⭐366) - Python Wrapper of Regularized Greedy Forest.

Machine Learning / Kernel Methods

• pyFM (⭐916) - Factorization machines in python.

• fastFM (⭐1.1k) - A library for Factorization Machines.

• tffm (⭐785) - TensorFlow implementation of an arbitrary order Factorization Machine.

• liquidSVM (⭐61) - An implementation of SVMs.

• scikit-rvm (⭐219) - Relevance Vector Machine implementation using the scikit-learn API.

• ThunderSVM (⭐1.5k) - A fast SVM Library on GPUs and CPUs.

Deep Learning / PyTorch

• PyTorch (⭐72k) - Tensors and Dynamic neural networks in Python with strong GPU acceleration.

• ignite (⭐4.4k) - High-level library to help with training neural networks in PyTorch.

• skorch (⭐5.4k) - A scikit-learn compatible neural network library that wraps PyTorch.

Deep Learning / TensorFlow

• TensorFlow (⭐178k) - Computation using data flow graphs for scalable machine learning by Google.

• TensorLayer (⭐7.2k) - Deep Learning and Reinforcement Learning Library for Researcher and Engineer.

• TFLearn (⭐9.6k) - Deep learning library featuring a higher-level API for TensorFlow.

• Sonnet (⭐9.6k) - TensorFlow-based neural network library.

• Polyaxon (⭐3.4k) - A platform that helps you build, manage and monitor deep learning models.

• tfdeploy (⭐352) - Deploy TensorFlow graphs for fast evaluation and export to TensorFlow-less environments running numpy.

• tensorflow-upstream (⭐661) - TensorFlow ROCm port.

• TensorFlow Fold (⭐1.8k) - Deep learning with dynamic computation graphs in TensorFlow.

• TensorLight (⭐10) - A high-level framework for TensorFlow.

• Mesh TensorFlow (⭐1.5k) - Model Parallelism Made Easier.

• Ludwig (⭐9.9k) - A toolbox that allows one to train and test deep learning models without the need to write code.

Deep Learning / MXNet

• MXNet (⭐21k) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.

• Gluon (⭐2.3k) - A clear, concise, simple yet powerful and efficient API for deep learning (now included in MXNet).

• Xfer (⭐251) - Transfer Learning library for Deep Neural Networks.

• MXNet (⭐29) - HIP Port of MXNet.

Automated Machine Learning / Others

• auto-sklearn (⭐7.2k) - An AutoML toolkit and a drop-in replacement for a scikit-learn estimator.

• TPOT (⭐9.3k) - AutoML tool that optimizes machine learning pipelines using genetic programming.

• MLBox (⭐1.4k) - A powerful Automated Machine Learning python library.

Natural Language Processing / Others

• torchtext (⭐3.4k) - Data loaders and abstractions for text and NLP.

• gluon-nlp (⭐2.5k) - NLP made easy.

• NLTK (⭐12k) - Modules, data sets, and tutorials supporting research and development in Natural Language Processing.

• CLTK (⭐803) - The Classical Language Toolkik.

• gensim - Topic Modelling for Humans.

• pyMorfologik (⭐18) - Python binding for Morfologik.

• skift (⭐233) - Scikit-learn wrappers for Python fastText.

• Phonemizer (⭐957) - Simple text-to-phonemes converter for multiple languages.

• flair (⭐13k) - Very simple framework for state-of-the-art NLP.

Computer Audition / Others

• torchaudio (⭐2.2k) - An audio library for PyTorch.

• librosa (⭐6.2k) - Python library for audio and music analysis.

• Yaafe (⭐237) - Audio features extraction.

• aubio (⭐3k) - A library for audio and music analysis.

• Essentia (⭐2.5k) - Library for audio and music analysis, description, and synthesis.

• LibXtract (⭐221) - A simple, portable, lightweight library of audio feature extraction functions.

• Marsyas (⭐385) - Music Analysis, Retrieval, and Synthesis for Audio Signals.

• muda (⭐222) - A library for augmenting annotated audio data.

• madmom (⭐1.2k) - Python audio and music signal processing library.

Computer Vision / Others

• torchvision (⭐15k) - Datasets, Transforms, and Models specific to Computer Vision.

• gluon-cv (⭐5.6k) - Provides implementations of the state-of-the-art deep learning models in computer vision.

• OpenCV (⭐72k) - Open Source Computer Vision Library.

• scikit-image (⭐5.6k) - Image Processing SciKit (Toolbox for SciPy).

• imgaug (⭐14k) - Image augmentation for machine learning experiments.

• imgaug_extension - Additional augmentations for imgaug.

• Augmentor (⭐5k) - Image augmentation library in Python for machine learning.

• albumentations (⭐13k) - Fast image augmentation library and easy-to-use wrapper around other libraries.

Graph Machine Learning / Others

• pytorch_geometric (⭐19k) - Geometric Deep Learning Extension Library for PyTorch.

Probabilistic Graphical Models / Others

• pgmpy (⭐2.5k) - A python library for working with Probabilistic Graphical Models.

Probabilistic Methods / Others

• pyro (⭐8.2k) - A flexible, scalable deep probabilistic programming library built on PyTorch.

• PyMC (⭐7.8k) - Bayesian Stochastic Modelling in Python.

• ZhuSuan - Bayesian Deep Learning.

• GPflow - Gaussian processes in TensorFlow.

• InferPy (⭐144) - Deep Probabilistic Modelling Made Easy.

• PyStan (⭐281) - Bayesian inference using the No-U-Turn sampler (Python interface).

• sklearn-bayes (⭐494) - Python package for Bayesian Machine Learning with scikit-learn API.

• skpro (⭐123) - Supervised domain-agnostic prediction framework for probabilistic modelling by The Alan Turing Institute.

• PyVarInf (⭐349) - Bayesian Deep Learning methods with Variational Inference for PyTorch.

• emcee (⭐1.4k) - The Python ensemble sampling toolkit for affine-invariant MCMC.

• hsmmlearn (⭐72) - A library for hidden semi-Markov models with explicit durations.

• pyhsmm (⭐535) - Bayesian inference in HSMMs and HMMs.

• GPyTorch (⭐3.2k) - A highly efficient and modular implementation of Gaussian Processes in PyTorch.

• sklearn-crfsuite (⭐421) - A scikit-learn-inspired API for CRFsuite.

Model Explanation / Others

• Alibi (⭐2.2k) - Algorithms for monitoring and explaining machine learning models.

• anchor (⭐761) - Code for "High-Precision Model-Agnostic Explanations" paper.

• aequitas (⭐572) - Bias and Fairness Audit Toolkit.

• Contrastive Explanation (⭐43) - Contrastive Explanation (Foil Trees).

• yellowbrick (⭐4.1k) - Visual analysis and diagnostic tools to facilitate machine learning model selection.

• scikit-plot (⭐2.4k) - An intuitive library to add plotting functionality to scikit-learn objects.

• shap (⭐20k) - A unified approach to explain the output of any machine learning model.

• ELI5 (⭐2.7k) - A library for debugging/inspecting machine learning classifiers and explaining their predictions.

• Lime (⭐11k) - Explaining the predictions of any machine learning classifier.

• FairML (⭐353) - FairML is a python toolbox auditing the machine learning models for bias.

• L2X (⭐120) - Code for replicating the experiments in the paper Learning to Explain: An Information-Theoretic Perspective on Model Interpretation.

• PDPbox (⭐784) - Partial dependence plot toolbox.

• PyCEbox (⭐152) - Python Individual Conditional Expectation Plot Toolbox.

• Skater - Python Library for Model Interpretation.

• model-analysis (⭐1.2k) - Model analysis tools for TensorFlow.

• themis-ml (⭐118) - A library that implements fairness-aware machine learning algorithms.

• treeinterpreter (⭐729) - Interpreting scikit-learn's decision tree and random forest predictions.

• AI Explainability 360 (⭐1.4k) - Interpretability and explainability of data and machine learning models.

• Auralisation (⭐40) - Auralisation of learned features in CNN (for audio).

• CapsNet-Visualization (⭐391) - A visualization of the CapsNet layers to better understand how it works.

• lucid (⭐4.6k) - A collection of infrastructure and tools for research in neural network interpretability.

• Netron (⭐24k) - Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).

• FlashLight - Visualization Tool for your NeuralNetwork.

• tensorboard-pytorch (⭐7.7k) - Tensorboard for PyTorch (and chainer, mxnet, numpy, ...).

• mxboard (⭐325) - Logging MXNet data for visualization in TensorBoard.

Genetic Programming / Others

• gplearn (⭐1.4k) - Genetic Programming in Python.

• DEAP (⭐5.3k) - Distributed Evolutionary Algorithms in Python.

• karoo_gp (⭐152) - A Genetic Programming platform for Python with GPU support.

• monkeys (⭐119) - A strongly-typed genetic programming framework for Python.

• sklearn-genetic (⭐282) - Genetic feature selection module for scikit-learn.

Optimization / Others

• Spearmint (⭐1.5k) - Bayesian optimization.

• BoTorch (⭐2.8k) - Bayesian optimization in PyTorch.

• SMAC3 (⭐915) - Sequential Model-based Algorithm Configuration.

• Optunity (⭐412) - Is a library containing various optimizers for hyperparameter tuning.

• hyperopt (⭐6.9k) - Distributed Asynchronous Hyperparameter Optimization in Python.

• hyperopt-sklearn (⭐1.5k) - Hyper-parameter optimization for sklearn.

• sklearn-deap (⭐739) - Use evolutionary algorithms instead of gridsearch in scikit-learn.

• sigopt_sklearn (⭐74) - SigOpt wrappers for scikit-learn methods.

• SafeOpt (⭐121) - Safe Bayesian Optimization.

• scikit-optimize (⭐2.7k) - Sequential model-based optimization with a scipy.optimize interface.

• Solid (⭐572) - A comprehensive gradient-free optimization framework written in Python.

• PySwarms (⭐1.1k) - A research toolkit for particle swarm optimization in Python.

• Platypus (⭐505) - A Free and Open Source Python Library for Multiobjective Optimization.

• GPflowOpt (⭐260) - Bayesian Optimization using GPflow.

• POT (⭐2k) - Python Optimal Transport library.

• Talos (⭐1.6k) - Hyperparameter Optimization for Keras Models.

• nlopt (⭐1.6k) - Library for nonlinear optimization (global and local, constrained or unconstrained).

Feature Engineering / General

• Featuretools (⭐6.8k) - Automated feature engineering.

• skl-groups (⭐41) - A scikit-learn addon to operate on set/"group"-based features.

• Feature Forge (⭐382) - A set of tools for creating and testing machine learning features.

• few (⭐47) - A feature engineering wrapper for sklearn.

• scikit-mdr (⭐123) - A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.

• tsfresh (⭐7.8k) - Automatic extraction of relevant features from time series.

Feature Engineering / Feature Selection

• scikit-feature (⭐1.4k) - Feature selection repository in Python.

• boruta_py (⭐1.4k) - Implementations of the Boruta all-relevant feature selection method.

• BoostARoota (⭐201) - A fast xgboost feature selection algorithm.

• scikit-rebate (⭐385) - A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

Visualization / General Purposes

• Matplotlib (⭐18k) - Plotting with Python.

• seaborn (⭐11k) - Statistical data visualization using matplotlib.

• prettyplotlib (⭐1.7k) - Painlessly create beautiful matplotlib plots.

• python-ternary (⭐652) - Ternary plotting library for Python with matplotlib.

• missingno (⭐3.7k) - Missing data visualization module for Python.

Statistics / NLP

• pandas_summary (⭐486) - Extension to pandas dataframes describe function.

• Pandas Profiling (⭐11k) - Create HTML profiling reports from pandas DataFrame objects.

• scikit-posthocs (⭐299) - Pairwise Multiple Comparisons Post-hoc Tests.

• Alphalens (⭐2.9k) - Performance analysis of predictive (alpha) stock factors.

Data Manipulation / Data Frames

• pandas - Powerful Python data analysis toolkit.

• Arctic (⭐3k) - High-performance datastore for time series and tick data.

• datatable (⭐1.8k) - Data.table for Python.

• cuDF (⭐6k) - GPU DataFrame Library.

• blaze (⭐3.2k) - NumPy and pandas interface to Big Data.

• pandasql (⭐1.3k) - Allows you to query pandas DataFrames using SQL syntax.

• pandas-gbq (⭐389) - pandas Google Big Query.

• xpandas (⭐25) - Universal 1d/2d data containers with Transformers .functionality for data analysis by The Alan Turing Institute.

• pysparkling (⭐260) - A pure Python implementation of Apache Spark's RDD and DStream interfaces.

• modin (⭐9k) - Speed up your pandas workflows by changing a single line of code.

• swifter (⭐2.4k) - A package that efficiently applies any function to a pandas dataframe or series in the fastest available manner.

Data Manipulation / Pipelines

• pdpipe (⭐715) - Sasy pipelines for pandas DataFrames.

• SSPipe - Python pipe (|) operator with support for DataFrames and Numpy, and Pytorch.

• pandas-ply (⭐196) - Functional data manipulation for pandas.

• Dplython (⭐759) - Dplyr for Python.

• sklearn-pandas (⭐2.8k) - pandas integration with sklearn.

• Dataset (⭐193) - Helps you conveniently work with random or sequential batches of your data and define data processing.

• pyjanitor (⭐1.2k) - Clean APIs for data cleaning.

• meza (⭐407) - A Python toolkit for processing tabular data.

• Prodmodel (⭐55) - Build system for data science pipelines.

Experimentation / Synthetic Data

• Sacred (⭐4.1k) - A tool to help you configure, organize, log, and reproduce experiments.

• Ax (⭐2.2k) - Adaptive Experimentation Platform.

Evaluation / Synthetic Data

• recmetrics (⭐532) - Library of useful metrics and plots for evaluating recommender systems.

• Metrics (⭐1.6k) - Machine learning evaluation metric.

• AI Fairness 360 (⭐2.2k) - Fairness metrics for datasets and ML models, explanations, and algorithms to mitigate bias in datasets and models.

Computations / Synthetic Data

• numpy - The fundamental package needed for scientific computing with Python.

• Dask (⭐11k) - Parallel computing with task scheduling.

• bottleneck (⭐947) - Fast NumPy array functions written in C.

• CuPy (⭐7.2k) - NumPy-like API accelerated with CUDA.

• scikit-tensor (⭐396) - Python library for multilinear algebra and tensor factorizations.

• numdifftools (⭐224) - Solve automatic numerical differentiation problems in one or more variables.

• quaternion (⭐570) - Add built-in support for quaternions to numpy.

• adaptive (⭐1.1k) - Tools for adaptive and parallel samping of mathematical functions.

Spatial Analysis / Synthetic Data

• GeoPandas (⭐3.9k) - Python tools for geographic data.

• PySal (⭐1.2k) - Python Spatial Analysis Library.

Quantum Computing / Synthetic Data

• QML (⭐186) - A Python Toolkit for Quantum Machine Learning.

Conversion / Synthetic Data

• sklearn-porter (⭐1.3k) - Transpile trained scikit-learn estimators to C, Java, JavaScript, and others.

• ONNX (⭐16k) - Open Neural Network Exchange.

• MMdnn (⭐5.8k) - A set of tools to help users inter-operate among different deep learning frameworks.

32. Awesome Emails

Design / Misc

• Email Template Guide - Using a modular email template system.

33. Awesome Ocaml

Language-related

• Inlined records in constructors

34. Awesome Perl

Commercial WebServices / DSP

• PagerDuty::Agent - A perl PagerDuty client

35. Machine Learning with Ruby

Machine Learning Libraries / Deep learning

• ruby-dnn (⭐43) - Simple deep learning for Ruby.

36. Awesome Embedded and Iot Security

Case Studies / RFID NFC Tools

• Binary Hardening in IoT products

37. Awesome Bioie

Journals

• NAR - Nucleic Acids Research. Has a broad biomolecular focus but is particularly notable for its annual database issue.

Video Lectures and Online Courses

• JensenLab text mining exercises

Language Models / BERT models

• ClinicalBERT - Two language models trained on clinical text have similar names. Both are BERT models trained on the text of clinical notes from the MIMIC-III dataset.
  • Alsentzer et al Clinical BERT (⭐524) - paper
  • Huang et al ClinicalBERT (⭐265) - paper

38. Awesome Sre

Reliability

• Taming chaos: Preparing for your next incident

Service Level Agreement

• Backblaze Durability is 99.999999999% — And Why It Doesn’t Matter

39. Awesome Remote Job

Job boards

• Slasify - Remote tech, art/design and marketing opportunities from Asia, global payroll service included.

Companies with "remote DNA"

• ConsenSys - Blockchain software technology company with offices all around the world, and independent employees in even more locations.

Tools / Communication

• Whereby – Browser-based, plugin-less group video calls.

40. Awesome Laravel

Popular Packages / Media & Document Management

• Laravel FFmpeg (⭐1.2k) - This package provides an integration with FFmpeg for Laravel 5.8.

41. Awesome Actions

GitHub Tools and Management / Docker Container Actions

• Publish GitHub Releases with Assets (⭐2k)

Utility / Docker Container Actions

• Update Maxmind Databases (⭐4)

• Debug with SSH over tmate (⭐1.6k) - Debug the Action directly by providing a SSH connection.

Static Analysis / Linting

• Run Go lint checks on PR event (⭐10)

42. Awesome Deep Learning

Researchers / Conferences

• MAIS - Montreal AI Symposium

Researchers / Frameworks

• Neuraxle - A general-purpose ML pipelining framework (⭐549)

43. Awesome Machine Learning

Python / General-Purpose Machine Learning

• Neuraxle (⭐595): A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.

Go / Natural Language Processing

• go-ngram (⭐112) - In-memory n-gram index with compression. [Deprecated]

• paicehusk (⭐29) - Golang implementation of the Paice/Husk Stemming Algorithm. [Deprecated]

• go-porterstemmer (⭐190) - A native Go clean room implementation of the Porter Stemming algorithm. [Deprecated]

Go / General-Purpose Machine Learning

• birdland (⭐45) - A recommendation library in Go.

• leaves (⭐402) - A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.

• go-ml-transpiler - An open source Go transpiler for machine learning models.

• golearn (⭐9.1k) - Machine learning for Go.

• goml (⭐1.5k) - Machine learning library written in pure Go.

• gorgonia (⭐5.3k) - Deep learning in Go.

• therfoo (⭐18) - An embedded deep learning library for Go.

• neat (⭐69) - Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT). [Deprecated]

• GoNN (⭐357) - GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN. [Deprecated]

• go-dnn (⭐5) - Deep Neural Networks for Golang (powered by MXNet)

Go / Spatial analysis and geometry

• go-geom (⭐761) - Go library to handle geometries.

• gogeo (⭐1.6k) - Spherical geometry in Go.

Go / Data Analysis / Data Visualization

• gota (⭐2.9k) - Dataframes.

• gonum/mat - A linear algebra package for Go.

• gonum/optimize - Implementations of optimization algorithms.

• gonum/plot - A plotting library.

• gonum/stat - A statistics library.

• glot (⭐389) - Glot is a plotting library for Golang built on top of gnuplot.

• globe (⭐1.6k) - Globe wireframe visualization.

• gonum/graph - General-purpose graph library.

• go-graph (⭐95) - Graph library for Go/Golang language. [Deprecated]

Credits / Misc

• References for Go were mostly cut-and-pasted from gopherdata (⭐850)

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