Stable Diffusion web UI

Deep Learning for humans

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

PyTorch implementations of Generative Adversarial Networks.

DALL·E Mini - Generate images from a text prompt

A list of all named GANs!

A MNIST-like fashion product database. Benchmark 👇

Open deep learning compiler stack for cpu, gpu and specialized accelerators

An open source implementation of CLIP.

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

Pytorch implementation of convolutional neural network visualization techniques

SGLang is a fast serving framework for large language models and vision language models.

Matplotlib styles for scientific plotting

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

Repo for BenTsao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草（原名：华驼）模型仓库，基于中文医学知识的大语言模型指令微调

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

3D ResNets for Action Recognition (CVPR 2018)

Differentiable architecture search for convolutional and recurrent networks

System for AI Education Resource.

[CVPR2020] Adversarial Latent Autoencoders

Deep Convolutional Generative Adversarial Networks

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

Code for visualizing the loss landscape of neural nets

[CVPR 2023] DepGraph: Towards Any Structural Pruning