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📚 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
🏡 Open source home automation that puts local control and privacy first.
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.
Hunt down social media accounts by username across social networks
scikit-learn: machine learning in Python
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
The world's simplest facial recognition api for Python and the command line
A toolkit for developing and comparing reinforcement learning algorithms.
🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
Automatic SQL injection and database takeover tool
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
You like pytorch? You like micrograd? You love tinygrad! ❤️
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…
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
🕵️♂️ Collect a dossier on a person by username from thousands of sites
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.