@pytorch
PyTorch is an open-source machine learning framework developed by Meta AI. It offers dynamic computation graphs and intuitive APIs, making it a favorite among researchers and engineers for developing deep learning models, especially in natural langua...
152.1k
@AUTOMATIC1111
Stable Diffusion web UI
143.9k
@huggingface
๐ค Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
76k
@comfyanonymous
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
62.9k
@keras-team
Deep Learning for humans
60.5k
@labmlai
๐งโ๐ซ 60+ Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
54.1k
@CorentinJ
Clone a voice in 5 seconds to generate arbitrary speech in real-time
53.7k
@ultralytics
YOLOv5 ๐ in PyTorch > ONNX > CoreML > TFLite
47.7k
@rasbt
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
46.5k
@vllm-project
A high-throughput and memory-efficient inference and serving engine for LLMs
40.2k
@ultralytics
Ultralytics YOLO11 ๐
39.8k
@coqui-ai
๐ธ๐ฌ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
38.5k
@GokuMohandas
Learn how to design, develop, deploy and iterate on production-grade ML applications.
38.2k
@deepspeedai
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
36.9k
@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.
36.7k
@TencentARC
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
36.2k
@babysor
๐AIๆๅฃฐ: 5็งๅ ๅ ้ๆจ็ๅฃฐ้ณๅนถ็ๆไปปๆ่ฏญ้ณๅ ๅฎน Clone a voice in 5 seconds to generate arbitrary speech in real-time
34k
@huggingface
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
31.4k
@facebookresearch
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
31.2k
@yunjey
PyTorch Tutorial for Deep Learning Researchers
30.9k
@open-mmlab
OpenMMLab Detection Toolbox and Benchmark