Highlights
- All languages
- AMPL
- Astro
- Batchfile
- Blade
- C
- C#
- C++
- CMake
- CSS
- Cadence
- Clojure
- CoffeeScript
- Common Lisp
- Cuda
- Dart
- Dockerfile
- Elm
- Erlang
- F#
- Gherkin
- Go
- Groovy
- HCL
- HTML
- Hack
- Haskell
- Java
- JavaScript
- Jupyter Notebook
- Kotlin
- Less
- Lua
- MATLAB
- MDX
- Makefile
- Markdown
- Meson
- Mustache
- Nunjucks
- OCaml
- Objective-C
- Objective-C++
- PHP
- PLSQL
- PLpgSQL
- PowerShell
- Processing
- Pug
- Python
- R
- Rich Text Format
- Ruby
- Rust
- SCSS
- Scala
- Scheme
- Shell
- Smarty
- Solidity
- Stata
- Swift
- TeX
- TypeScript
- Verilog
- Vim Script
- Vue
- XSLT
Starred repositories
📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opinionated list of awesome Python frameworks, libraries, software and resources.
All Algorithms implemented in Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
🏡 Open source home automation that puts local control and privacy first.
Models and examples built with TensorFlow
The Python micro framework for building web applications.
A curated list of awesome Machine Learning frameworks, libraries and software.
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
scikit-learn: machine learning in Python
A collection of learning resources for curious software engineers
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
A collection of design patterns/idioms in Python
Developer-first error tracking and performance monitoring
Streamlit — A faster way to build and share data apps.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
TensorFlow code and pre-trained models for BERT
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
A toolkit for developing and comparing reinforcement learning algorithms.
PyTorch Tutorial for Deep Learning Researchers
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…