JLINEkai

AdaptiveSupervisedPatchNCE

BCI

BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix

contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

FGVC-HERBS

Pytorch implementation of "Fine-grained Visual Classification with High-temperature Refinement and Background Suppression"

ebrowser

ebrowser, an energy-efficient and lightweight human interaction framework without degrading the user experience in mobile Web browsers.

delaystage

DelayStage is a simple yet effective stage delay scheduling strategy to interleave the cluster resources across the parallel stages, so as to increase the cluster resource utilization and speed up the job performance.

paper-reading-list

Reading paper list for iCloud group

cloudhopper

Automation script for live container migration with CRIU

igniter

iGniter, an interference-aware GPU resource provisioning framework for achieving predictable performance of DNN inference in the cloud.

Tetris

Tetris, a model predictive control (MPC)-based container scheduling strategy to judiciously make migration decisions for long-running containerized workloads. Tetris can achieve the long-term optimization of container scheduling to circumvent invalid migrations as many as possible, by jointly optimizing the cluster load balancing and container migration cost over a certain sliding time window.

Prophet

Prophet is a predictable communication scheduling strategy to schedule the gradient transfer in an adequate order, with the aim of maximizing the GPU and network resource utilization.

spotDNN

spotDNN is a heterogeneity-aware spot instance provisioning framework to provide predictable performance for DDNN training workloads in the cloud.

paper-reading-list

Reading paper list for iCloud group

CCC2023

PMC-CLIP

The official codes for "PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents"

DiRA

Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis - CVPR 2022

DeSCO

PEFAT

[CVPR2023]PEFAT: Boosting Semi-supervised Medical Image Classification via Pseudo-loss Estimation and Feature Adversarial Training

Awesome-Diffusion-Models-in-Medical-Imaging

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

DenoisingDiffusionProbabilityModel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.