Awesome List Updates on Mar 07, 2020

6 awesome lists updated today.

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1. Awesome Mental Health

Talks

• The Mental Impact of Tech Interviews - Abstractions II (Slides) - By Zack Zlotnik.

2. Awesome Dotnet Core

Frameworks, Libraries and Tools / IOC

• Unity (⭐1.6k) - A lightweight, extensible dependency injection container.

3. Awesome Lockpicking

Books

• Locks, Safes and Security: An International Police Reference - Information on locks, safes and security by Marc Weber Tobias.

Hobby projects

• Lock Dice - In this dice-based locksport game, as a budding lock maker you have set out to test your designs against your peers.

Online resources

• Dark Sim 905's Lockpicking pages - Personal website of a knowledgable hobbyist discussing a variety of picking and bypass tools.

• Raking Techniques - Raking techniques illustrated with awesome animations.

4. Awesome Nlg

Videos

• Imitation Learning and its Application to Natural Language Generation

5. Awesome R

2019

• ggforce (⭐898) - ggplot2 extension framework

• rayshader (⭐2k) - 2D and 3D data visualizations via rgl

Integrated Development Environments

• RStudio - A powerful and productive user interface for R. Works great on Windows, Mac, and Linux.

• IRkernel (⭐1.6k) - R kernel for Jupyter.

• radian (⭐1.9k) (formerly rtichoke) - A modern R console with syntax highlighting.

Syntax

• magrittr (⭐951) - Let's pipe it.

Data Manipulation

• dplyr (⭐4.6k) - Fast data frames manipulation and database query.

• data.table (⭐3.5k) - Fast data manipulation in a short and flexible syntax.

• reshape2 (⭐207) - Flexible rearrange, reshape and aggregate data.

• broom (⭐19) - Convert statistical analysis objects into tidy data frames.

• stringi (⭐288) - ICU based string processing package.

• stringr (⭐564) - Consistent API for string processing, built on top of stringi.

Graphic Displays

• ggplot2 (⭐6.2k) - An implementation of the Grammar of Graphics.

• idendro (⭐9) - interactive exploration of dendrograms (trees of hierarchical clustering).

2017 / Book/monograph Lists and Reviews

• hrbrthemes (⭐1.2k) - 🔏 Opinionated, typographic-centric ggplot2 themes and theme components

• Patchwork (⭐2.4k) - Combine separate ggplots into the same graphic.

• utf8 (⭐112) - Manipulating and printing UTF-8 text that fixes multiple bugs in R's UTF-8 handling.

• covr (⭐327) - Test coverage reports for R

• lintr (⭐1.1k) - Static Code Analysis for R

• prophet (⭐18k) - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

• tidyverse (⭐1.6k) - Easily install and load packages from the tidyverse

• purrr (⭐1.2k) - A functional programming toolkit for R

• xaringan (⭐1.5k) - Create HTML5 slides with R Markdown and the JavaScript library

• blogdown (⭐1.7k) - Create Blogs and Websites with R Markdown

• glue (⭐684) - Glue strings to data in R. Small, fast, dependency free interpreted string literals.

• reprex (⭐725) - Render bits of R code for sharing, e.g., on GitHub or StackOverflow.

• reticulate (⭐1.6k) - R Interface to Python

• tensorflow (⭐1.3k) - TensorFlow for R

2018 / Book/monograph Lists and Reviews

• r2d3 - R Interface to D3 Visualizations

• promises - Abstractions for Promise-Based Asynchronous Programming

• Readings in Applied Data Science (⭐1.6k) - These readings reflect Hadley's personal thoughts about applied data science.

• fable (⭐539) - univariate and multivariate time series forecasting models

• rstats-ed (⭐450) - List of courses teaching R

• tinytex - A lightweight and easy-to-maintain LaTeX distribution

HTML Widgets

• DiagrammeR (⭐1.7k) - Create JS graph diagrams and flowcharts in R.

• formattable (⭐686) - Formattable Data Structures.

• ggvis (⭐712) - Interactive grammar of graphics for R.

• plotly (⭐2.5k) - Interactive ggplot2 and Shiny plotting with plot.ly.

• rCharts (⭐1.2k) - Interactive JS Charts from R.

• echarts4r (⭐565) - R wrapper to Echarts version 4

Reproducible Research

• knitr (⭐2.3k) - Easy dynamic report generation in R.

• rmarkdown - Dynamic documents for R.

• slidify (⭐845) - Generate reproducible html5 slides from R markdown.

• texreg (⭐109) - Formatting statistical models in LaTex and HTML.

• kable - Build fancy HTML or 'LaTeX' tables using 'kable()' from 'knitr'.

Web Technologies and Services

• shiny (⭐5.2k) - Easy interactive web applications with R. See also awesome-rshiny (⭐769)

• httr (⭐978) - User-friendly RCurl wrapper.

• XML - Tools for parsing and generating XML within R.

• xml2 - Optimized tools for parsing and generating XML within R.

• rvest (⭐1.5k) - Simple web scraping for R, using CSSSelect or XPath syntax.

• OpenCPU - HTTP API for R handling concurrent calls, based on the Apache2 web server, to expose R code as REST web services and create full-sized, multi-page web applications.

Parallel Computing

• foreach - Executing the loop in parallel.

• future - A minimal, efficient, cross-platform unified Future API for parallel and distributed processing in R; designed for beginners as well as advanced developers.

• SparkR (⭐641) - R frontend for Spark.

High Performance

• Rcpp - Rcpp provides a powerful API on top of R, make function in R extremely faster.

Machine Learning

• AnomalyDetection (⭐3.5k) - AnomalyDetection R package from Twitter.

• BreakoutDetection (⭐753) - Breakout Detection via Robust E-Statistics from Twitter.

• CausalImpact (⭐1.6k) - Causal inference using Bayesian structural time-series models.

• caret - Classification and Regression Training

• prophet (⭐18k) - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

• glmnet - Lasso and elastic-net regularized generalized linear models

• h2o - Deeplearning, Random forests, GBM, KMeans, PCA, GLM

• lme4 (⭐588) - Mixed-effects models

• Machine Learning For Hackers (⭐3.7k)

• MXNet (⭐21k) - MXNet brings flexible and efficient GPU computing and state-of-art deep learning to R.

• survminer (⭐465) - Survival Analysis & Visualization

• survival - Survival Analysis

• xgboost (⭐572) - eXtreme Gradient Boosting Tree model, well known for its speed and performance.

Bayesian

• rstan - R interface to the Stan MCMC software.

Finance

• quantmod - Quantitative Financial Modelling & Trading Framework for R.

• zoo - S3 Infrastructure for Regular and Irregular Time Series.

Bioinformatics and Biostatistics

• Bioconductor - Tools for the analysis and comprehension of high-throughput genomic data.

Network Analysis

• igraph - A collection of network analysis tools.

• tidygraph (⭐528) - A tidy API for graph manipulation

Spatial

• tmap (⭐7) - R package for thematic maps

R Development

• devtools (⭐2.3k) - Tools to make an R developer's life easier.

• testthat (⭐859) - An R package to make testing fun.

• R6 (⭐397) - simpler, faster, lighter-weight alternative to R's built-in classes.

• pryr (⭐201) - Make it easier to understand what's going on in R.

• roxygen (⭐573) - Describe your functions in comments next to their definitions.

• Rocker - R configurations for Docker.

Data Packages

• wbstats - Tools for searching and downloading data and statistics from the World Bank Data API and the World Bank Data Catalog API.

• ICON (⭐6) - complex systems & networks datasets from the Index of COmplex Networks (ICON) database webpage.

Learning R

• swirl - An interactive R tutorial directly in your R console.

• DataScienceR (⭐2k) - a list of R tutorials for Data Science, NLP and Machine Learning.

Websites / Manuals

• An Introduction to R - A very good introductory text on R, also covers some advanced topic. See also the Manuals section on CRAN

• CRAN Contributed Docs - CRAN Contributed Documentation in many languages.

• Quick-R - An excellent quick reference

Websites / Tools and References

• CRAN Task Views - Task Views for CRAN packages.

Websites / News and Info

• R Bloggers - There are people scattered across the Web who blog about R. This is simply an aggregator of many of those feeds.

• R-users - A job board for R users (and the people who are looking to hire them)

Books / Free and Online

• R for Data Science by Garrett Grolemund & Hadley Wickham - Free book from RStudio developers with emphasis on data science workflow.

• R Cookbook by Winston Chang - A problem-oriented online book that supports his R Graphics Cookbook, 2nd ed. (2018).

• Advanced R, 2nd ed. by Hadley Wickham (2019) - An online version of the Advanced R book.

• R Packages, 2nd ed. by Hadley Wickham & Jennifer Bryan - A book (in paper and website formats) on writing R packages.

• Books written as part of the Johns Hopkins Data Science Specialization:
  • Exploratory Data Analysis with R by Roger D. Peng (2016) - Basic analytical skills for all sorts of data in R.
  • R Programming for Data Science by Roger D. Peng (2019) - More advanced data analysis that relies on R programming.
  • Report Writing for Data Science in R by Roger D. Peng (2019) - R-based methods for reproducible research and report generation.

• R for SAS and SPSS users by Bob Muenchen (2012) - An excellent resource for users already familiar with SAS or SPSS.

• Introduction to Statistical Learning with Application in R by Gareth James et al. (2017) - A simplified and "operational" version of The Elements of Statistical Learning. Free softcopy provided by its authors.

• The R Inferno by Patrick Burns (2011) - Patrick Burns gives insight into R's ins and outs along with its quirks!

• Efficient R Programming by Colin Gillespie & Robin Lovelace (2017) - An online version of the O’Reilly book: Efficient R Programming.

• The R Programming Wikibook - A collaborative handbook for R.

Books / Paid

• The Art of R Programming - It's a good resource for systematically learning fundamentals such as types of objects, control statements, variable scope, classes and debugging in R.

• R Cookbook, 2nd ed. by JD Long & Paul Teetor (2019) - A quick and simple introduction to conducting many common statistical tasks with R.

• Use R! Series by Springer - This series of inexpensive and focused books from Springer publish shorter books aimed at practitioners. Books can discuss the use of R in a particular subject area, such as Bayesian networks, ggplot2 and Rcpp.

Books / Book/monograph Lists and Reviews

• R Books List (⭐226) - List of R Books.

6. Awesome Deep Learning Resources

Online Classes

• Deep Learning & Recurrent Neural Networks (DL&RNN) - The most richly dense, accelerated course on the topic of Deep Learning & Recurrent Neural Networks (scroll at the end).

Practical Resources / Librairies and Implementations

• Hyperopt for a Keras CNN on CIFAR-100 (⭐103) - Auto (meta) optimizing a neural net (and its architecture) on the CIFAR-100 dataset.

• Smoothly Blend Image Patches (⭐0) - Smooth patch merger for semantic segmentation with a U-Net.

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