🎓 Path to a free self-taught education in Computer Science!

An Open Source Machine Learning Framework for Everyone

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

Papers from the computer science community to read and discuss.

Models and examples built with TensorFlow

The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems

scikit-learn: machine learning in Python

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.

The simplest, fastest repository for training/finetuning medium-sized GPTs.

A collection of learning resources for curious software engineers

Focus on prompting and generating

Universal markup converter

DSPy: The framework for programming—not prompting—language models

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

OpenMMLab Detection Toolbox and Benchmark

🕸️ Web apps in pure Python 🐍

Integrate cutting-edge LLM technology quickly and easily into your apps

📄 Awesome CV is LaTeX template for your outstanding job application

Label Studio is a multi-type data labeling and annotation tool with standardized output format

An open autonomous driving platform

Convolutional Neural Networks

MagicMirror² is an open source modular smart mirror platform. With a growing list of installable modules, the MagicMirror² allows you to convert your hallway or bathroom mirror into your personal a…

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Open standard for machine learning interoperability

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …