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📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Models and examples built with TensorFlow
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
The world's simplest facial recognition api for Python and the command line
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
TensorFlow code and pre-trained models for BERT
Easily train a good VC model with voice data <= 10 mins!
TradingAgents: Multi-Agents LLM Financial Trading Framework
Code and documentation to train Stanford's Alpaca models, and generate the data.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
State-of-the-art 2D and 3D Face Analysis Project
Fully open reproduction of DeepSeek-R1
Python Backtesting library for trading strategies
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
Zipline, a Pythonic Algorithmic Trading Library
A very simple framework for state-of-the-art Natural Language Processing (NLP)
fsociety Hacking Tools Pack – A Penetration Testing Framework
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.


