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📚 Freely available programming books
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.
Hunt down social media accounts by username across social networks
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
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…
💻 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 300+ supported cars.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
A toolkit for developing and comparing reinforcement learning algorithms.
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.
If you live in the terminal, kitty is made for you! Cross-platform, fast, feature-rich, GPU based.
Documentation that simply works
Google Chromium, sans integration with Google
The official source code repository for the calibre ebook manager
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Open standard for machine learning interoperability
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Automated nginx proxy for Docker containers using docker-gen
Code samples for my book "Neural Networks and Deep Learning"