Wenkai Li's repositories
pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
clipdraw
code for CLIPDraw
ColossalAI
Making large AI models cheaper, faster and more accessible
ControlNet
Let us control diffusion models
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
CrossAttentionControl
Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion
DDNM
[ICLR 2023, Notable-Top-25%] Official PyTorch implementation for the paper "Zero Shot Image Restoration Using Denoising Diffusion Null-Space Model"
DG
Official repo for Discriminator Guidance.
diffusion-nbs
Getting started with diffusion
DiffusionDet
PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)
edm
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
grok-1
Grok open release
house_diffusion
The implementation of "HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising", https://arxiv.org/abs/2211.13287
InstaNAS
⚡️ [AAAI'20][ICML'19 AutoML] InstaNAS: Instance-aware Neural Architecture Search
maigret
🕵️♂️ Collect a dossier on a person by username from thousands of sites
mmgeneration
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
nerf
Code release for NeRF (Neural Radiance Fields)
nerf-pytorch
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
point-e
Point cloud diffusion for 3D model synthesis
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
pytorch-image-classification
Image classification using pytorch
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.