jiche2012

MedMamba

This is the official code repository for "MedMamba: Vision Mamba for Medical Image Classification"

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.

Annotation-free-Fundus-Image-Enhancement

Project for annotation-free image enhancement of fundus, cataract data.

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

SimMIM

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

PerceptualSimilarity

LPIPS metric. pip install lpips

Faster-High-Res-Neural-Inpainting

High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis

PEN-Net-for-Inpainting

[CVPR'2019] PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting

edge-connect

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

GLCIC-PyTorch

A High-Quality PyTorch Implementation of "Globally and Locally Consistent Image Completion".

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

MOOD

Official PyTorch implementation of MOOD series: (1) MOODv1: Rethinking Out-of-distributionDetection: Masked Image Modeling Is All You Need. (2) MOODv2: Masked Image Modeling for Out-of-Distribution Detection.

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

MAE

PyTorch implementation of Masked Autoencoder

MAE-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

energy_ood

gmm-torch

Gaussian mixture models in PyTorch.

gram-ood-detection

large_scale_ood

MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space

Awesome-Out-Of-Distribution-Detection

Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc

OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

Awesome-Image-Inpainting

A curated list of image inpainting and video inpainting papers and resources

context-encoder

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch