AUTOMATIC1111
Stable Diffusion web UI
huggingface
🤗 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.
rasbt
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
vllm-project
A high-throughput and memory-efficient inference and serving engine for LLMs
labmlai
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
keras-team
Deep Learning for humans
CorentinJ
Clone a voice in 5 seconds to generate arbitrary speech in real-time
ultralytics
Ultralytics YOLO 🚀
ultralytics
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
GokuMohandas
Learn how to develop, deploy and iterate on production-grade ML applications.
coqui-ai
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
roboflow
We write your reusable computer vision tools. 💜
ray-project
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
TencentARC
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
babysor
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
lutzroeder
Visualizer for neural network, deep learning and machine learning models
lukasmasuch
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
microsoft
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
AI4Finance-Foundation
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
meta-llama
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
kyegomez
A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.
kornia
🐍 Geometric Computer Vision Library for Spatial AI
bigscience-workshop
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading