Stars
An opinionated list of awesome Python frameworks, libraries, software and resources.
Design patterns implemented in Java
🌐 Jekyll is a blog-aware static site generator in Ruby
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Apache Spark - A unified analytics engine for large-scale data processing
ShellCheck, a static analysis tool for shell scripts
Python best practices guidebook, written for humans.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
The most cited deep learning papers
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Ember.js - A JavaScript framework for creating ambitious web applications
GraalVM compiles applications into native executables that start instantly, scale fast, and use fewer compute resources 🚀
MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
💎 A collection of awesome Ruby libraries, tools, frameworks and software
A complete native navigation solution for React Native
Bayesian Modeling and Probabilistic Programming in Python
Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
Frontend for HospitalRun
📘 The interactive computing suite for you! ✨
Java 1-25 Parser and Abstract Syntax Tree for Java with advanced analysis functionalities.