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ViViD

ViViD: Video Virtual Try-on using Diffusion Models

Infusion

Official implementations for paper: InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior

ComfyUI

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

X-AnyLabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

prompt-to-prompt

torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

consistency_models

Official repo for consistency models.

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.

navidrome

🎧☁️ Modern Music Server and Streamer compatible with Subsonic/Airsonic

ControlNet

Let us control diffusion models!

TrafficMonitor

这是一个用于显示当前网速、CPU及内存利用率的桌面悬浮窗软件，并支持任务栏显示，支持更换皮肤。

RePaint

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

simsiam

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

dpm-solver

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

Tiny-Defect-Detection-for-PCB

This is a repository about PCB defect detection.

partialconv

A New Padding Scheme: Partial Convolution based Padding

annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

AST

This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

AnoDDPM

CVPR Workshop paper - AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise

diffusion-point-cloud

:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)

GOOD_descriptor

Global Orthographic Object Descriptor (GOOD)

Poisson_flow

Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)

CompositeNet

OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

eyecandies