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.

A curated list of awesome Machine Learning frameworks, libraries and software.

The Python programming language

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…

A list of useful payloads and bypass for Web Application Security and Pentest/CTF

Deep Learning for humans

Hunt down social media accounts by username across social networks

💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.

The uncompromising Python code formatter

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

A toolkit for developing and comparing reinforcement learning algorithms.

🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Cross-platform, fast, feature-rich, GPU based terminal

A code-completion engine for Vim

⛅ The right way to check the weather

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Documentation that simply works

Google Chromium, sans integration with Google

The official source code repository for the calibre ebook manager

Automated nginx proxy for Docker containers using docker-gen

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Open standard for machine learning interoperability

Issues found on WSL

historical code from reddit.com

Code samples for my book "Neural Networks and Deep Learning"