Hz FU

Nature-Paper-Skills. Agent skills for drafting, revising, auditing, and resubmitting Nature-style journal manuscripts.

tradingview-mcp. TradingView MCP server — real-time market data, technical analysis, screeners & backtesting for Claude, ChatGPT, Cursor & any MCP client. Stocks, crypto, forex & futures across global exchanges. Hosted or self-host.

Auto-claude-code-research-in-sleep. ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.

academic-research-skills. Academic Research Skills for Claude Code: research → write → review → revise → finalize

Awesome-AI-Agents-for-Healthcare. Latest Advances on Agentic AI & AI Agents for Healthcare

Baichuan-M2-32B. Beyond the Model: Scaling Medical Capability with a Large Verifier System

skills. Public repository for Agent Skills

claude-code. Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.

AIMedia. AIMedia 是一款自动抓取热点，AI创作文章，自动发布的集成软件。支持头条，小红书，公众号等

HiVE-MIL. [NeurIPS 2025] Few-Shot Learning from Gigapixel Images via Hierarchical Vision-Language Alignment and Modeling

UIOS.

MG-Trans. MG-Trans: Multi-scale Graph Transformer with Information Bottleneck for Whole Slide Image Classification (TMI 2023)

MM-Retinal.

MG-Trans. MG-Trans: Multi-scale Graph Transformer with Information Bottleneck for Whole Slide Image Classification (TMI 2023)

MM-Retinal. Python

EyeMoSt. 【MICCAI 2023 Early Accept & MedIA】EyeMost "Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions"

MedRPG.

FederatedLearning. Material workbench for the master-level course CS-E4740 "Federated Learning"

Awesome-Mamba-Papers. Awesome Papers related to Mamba.

awesome-multimodal-in-medical-imaging. A collection of resources on applications of multi-modal learning in medical imaging.

TISA. Training-free image style alignment

g_fair_prompting. Python

chatgpt-prompts-for-academic-writing. This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

UIOS. Python

awesome-medical-vision-language-models. A collection of resources on Medical Vision-Language 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.

Awesome-Dataset-Distillation. A curated list of awesome papers on dataset distillation and related applications.

fortuna. A Library for Uncertainty Quantification.

FLamby. Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.

techniques. Techniques for deep learning with satellite & aerial imagery

NVFlare. NVIDIA Federated Learning Application Runtime Environment

machine_unlearning. Existing Literature about Machine Unlearning

RSCFed. CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning

ISECRET. I-SECRET: Importance-guided fundus image enhancement via semi-supervised contrastive constraining

jadena. Official implementation of "Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection" in CVPR 2022.

medical-imaging-datasets. A list of Medical imaging datasets.

FedDC. An implementation for "Federated Learning with Non-IID Data via Local Drift Decoupling and Correction"

TLC. PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)

Restoration-of-Cataract-Images-via-Domain-Adaptation. A restoration of cataract images using damain adaptation

GCoNet_plus. [TPAMI'23] GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector.

uncertainty-toolbox. Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

awesome-transformers-in-medical-imaging. A collection of resources on applications of Transformers in Medical Imaging.

MIRTorch. A PyTorch-powered differentiable image reconstruction/optimization toolbox

awesome-transformers-in-medical-imaging. A collection of resources on applications of Transformers in Medical Imaging.

ConvNeXt. Code release for ConvNeXt model

DMT-Net. Image dehazing

SPNet. Specificity-preserving RGB-D Saliency Detection

MoNIG. Code for paper Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions.

StillGAN. Structure and Illumination Constrained GAN forMedical Image Quality Enhancement

Polyp-PVT. Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers, AIR 2023.

MARIO. Python

DS-Net. Code, pre-trained models and saliency results for the paper "Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images".

OODSurvey. The Official Repository for "Generalized OOD Detection: A Survey"

Fundus-correction-cofe-Net. Python

MICCAI-OpenSourcePapers. MICCAI 2019-2023 Open Source Papers

FedMRI. 【IEEE TMI 2022】Specificity-Preserving Federated Learning for MR Image Reconstruction

flower. Flower: A Friendly Federated AI Framework

dabs. A Domain-Agnostic Benchmark for Self-Supervised Learning

Awesome-Surgical-Video-Analysis. Papers of ComputerVision x Surgery

openfold. Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

cleanlab. Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

TMC. The project page of paper: Trusted Multi-View Classification [ICLR'2021 paper]

voxelmorph. Unsupervised Learning for Image Registration

uncertainty-baselines. High-quality implementations of standard and SOTA methods on a variety of tasks.

SANet. 【IEEE TNNLS 2023】Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution

MMA-Net. VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection (ICCV 2021)

Awesome-Federated-Learning. FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

VideoLT. Official Code for VideoLT: Large-scale Long-tailed Video Recognition (ICCV 2021)

HiNet. Code for TMI 2020 "Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis"

CS-Net. CS-Net (MICCAI 2019) and CS2-Net (MedIA 2020)

HiNet. Code for TMI 2020 "Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis"

segtran. Medical Image Segmentation using Squeeze-and-Expansion Transformers

PNS-Net. 2021-MICCAI-Progressively Normalized Self-Attention Network for Video Polyp Segmentation

T2Net. 【MICCAI 2021】Task Transformer Network for Joint MRI Reconstruction and Super-Resolution

GCoNet. Python

ATH. Attention-based Triplet Hashing

GlobalGuidance-Net. MIA 2021 paper 'Global guidance network for breast lesion segmentation in ultrasound images'.

OCTA-Net-OCTA-Vessel-Segmentation-Network. Python

DONet. 【TNNLS 2021】DONet: Dual-Octave Network for Fast MR Image Reconstruction

CoEGNet. Re-thinking Co-Salient Object Detection, TPAMI 2021

SEDR_analyses. R

SEDR. Python

swarm-learning. A simplified library for decentralized, privacy preserving machine learning

Awesome-Federated-Machine-Learning. Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

SEDR. Code for "SEDR: Unsupervised Spatial Embedded Deep Representation of Spatial Transcriptomics"

MTrans. 【IEEE TMI 2022】Accelerated Multi-Modal MR Imaging with Transformers

MINet. 【MICCAI 2021, Early accept】Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network

scanpy. Single-cell analysis in Python. Scales to >100M cells.

pyGAT. Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

SimCSE. [EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

ViSha. Code for the CVPR 2021 paper "Triple-cooperative Video Shadow Detection"

pytorch_geometric. Graph Neural Network Library for PyTorch

gae-pytorch. Graph Auto-Encoder in PyTorch

scGNN. scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks

WWW2020-O2MAC. WWW2020-One2Multi Graph Autoencoder for Multi-view Graph Clustering

mmf. A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

awesome-vln. A curated list of research papers in Vision-Language Navigation (VLN)

mean-teacher. A state-of-the-art semi-supervised method for image recognition

PySyft. Perform data science on data that remains in someone else's server

UCNet. UC-Net: Uncertainty Inspired RGB-D Saliency Detectionvia Conditional Variational Autoencoders, CVPR2020

Fundus_Review. Official website of our paper: Applications of Deep Learning in Fundus Images: A Review. Newly-released datasets and recently-published papers will be updated regularly.

CABnet. Python

FedML. FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

EyeQ_Enhancement. Code of 'Modeling and Enhancing Low-quality Retinal Fundus Images'

simclr. SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Awesome-Learning-with-Label-Noise. A curated list of resources for Learning with Noisy Labels

awesome-dataset-tools. 🔧 A curated list of awesome dataset tools

pytorch-image-models. The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

gen-efficientnet-pytorch. Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

computervision-recipes. Best Practices, code samples, and documentation for Computer Vision.

Awesome-NAS. Python

Tricks-of-Semi-supervisedDeepLeanring-Pytorch. PseudoLabel 2013, VAT, PI model, Tempens, MeanTeacher, ICT, MixMatch, FixMatch

RGBD-SODsurvey. RGB-D Salient Object Detection: A Survey

MedUncertainty. Uncertainty in Medical Image Analysis

MONAI. AI Toolkit for Healthcare Imaging

PraNet. PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.

MITK. The Medical Imaging Interaction Toolkit.

flops-counter.pytorch. Flops counter for neural networks in pytorch framework

pytorch-OpCounter. Count the MACs / FLOPs of your PyTorch model.

Inf-Net. Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.

COVID19_imaging_AI_paper_list. COVID-19 imaging-based AI paper collection

Augmentor. Image augmentation library in Python for machine learning.

SINet. Camouflaged Object Detection, CVPR 2020 (Oral)

CE-Net. 【TMI】This repo is for CENet, which is accepted in TMI.

vision. Datasets, Transforms and Models specific to Computer Vision

CPM_Nets. The project page of paper: CPM-Nets: Cross Partial Multi-View Networks [NeurIPS 2019 Spotlight paper]

albumentations. Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

AGNet. The code of "Attention Guided Network for Retinal Image Segmentation" in MICCAI 2019

MedicalNet. Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

EyeQ. EyeQ : Dataset of Retinal Image Quality Assessment

SODsurvey.

Fisheye_tifs2012. The codes for "Forgery Authentication in Extreme Wide-angle Lens Using Distortion Cue and Fake Saliency Map" in TIFS 2012.

VideoCoSeg_MSG. The Matlab code for Video Co-saliency via Multi-state Selection Graph

RegularSP_tmm2014. The codes for "Regularity Preserved Superpixels and Supervoxels" in TMM 2014.

SACS_TIP2014. The Matlab code for Self-adaptively Weighted Co-saliency (SACS) Detection

DES_code. The Matlab code for Depth Enhanced Saliency Detection

Cosaliency_tip2013. The codes for "Cluster-based Co-saliency Detection" in TIP 2013.

DENet_GlaucomaScreen. Code for "Disc-aware Ensemble Network for Glaucoma Screening from Fundus Image"

MNet_DeepCDR. Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"

ISIC-Archive-Downloader. A script to download the ISIC Archive of lesion images

AG-CNN. The model of "Attention Based Glaucoma Detection: A Large-scale Database with a CNN Model" (CVPR2019)

biomedia-2019. ACM-Grand-Challenge-2019-Biomedia

adversarial-robustness-toolbox. Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

awesome-adversarial-examples-dl. A curated list of awesome resources for adversarial examples in deep learning

SODsurvey. Salient Object Detection in the Deep Learning Era: An In-Depth Survey

996.ICU. Repo for counting stars and contributing. Press F to pay respect to glorious developers.

RandWireNN. Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

PlotNeuralNet. Latex code for making neural networks diagrams

ENAS-pytorch. PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

VisualDL. Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

nitrain. Train AI models efficiently on medical images using any framework

Deep-subspace-clustering-networks. Python

transferlearning. Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

pydensecrf. Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

EDSR-PyTorch. PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

adversarial_retinal_synthesis. Python

vess2ret. A Keras implementation of pix2pix code adapted to generate retinal images from vessel networks.

keras-vis. Neural network visualization toolkit for keras

cnngeometric_pytorch. CNNGeometric PyTorch implementation

foolbox. A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Keras-GAN. Keras implementations of Generative Adversarial Networks.

TernausNetV2. TernausNetV2: Fully Convolutional Network for Instance Segmentation

pytorch_image_classification. PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

pytorch-mask-rcnn. Python

torch-light. Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

keras-retinanet. Keras implementation of RetinaNet object detection.

medical-data.

Deep-Learning-with-Keras. Code repository for Deep Learning with Keras published by Packt

PyTorchZeroToAll. Simple PyTorch Tutorials Zero to ALL!

pytorch-semantic-segmentation. PyTorch for Semantic Segmentation

pytorch_exercises. Jupyter Notebook

kaggle_diabetic. 2nd place solution for the Kaggle Diabetic Retinopathy Detection Challenge

meanfield-matlab. MATLAB wrapper for Efficient Inference in Fully Connected CRF

seaborn. Statistical data visualization in Python

tensorflow-fast-rcnn. fast-rcnn in tensorflow!

TensorLayer. Deep Learning and Reinforcement Learning Library for Scientists and Engineers

notes-python. 中文 Python 笔记

deepmask. Torch implementation of DeepMask and SharpMask

multipathnet. A Torch implementation of the object detection network from "A MultiPath Network for Object Detection" (https://arxiv.org/abs/1604.02135)

TopDeepLearning. A list of popular github projects related to deep learning

deeplearning-biology. A list of deep learning implementations in biology

demo_nn_compress. This is a demo of compressing AlexNet from 233MB to 8.9MB without any accyracy loss

caffe. Caffe on both Linux and Windows

C3D. C3D is a modified version of BVLC caffe to support 3D ConvNets.

awesome-random-forest. Random Forest - a curated list of resources regarding random forest

deepproposal. code for DeepProposal paper presented in ICCV 2015

HFL_code. HFL Boundary Detection Code (ICCV 2015)

hed. code for Holistically-Nested Edge Detection

cnpy. library to read/write .npy and .npz files in C/C++

edges. Structured Edge Detection Toolbox

kaggle_diabetic_retinopathy. Fifth place solution of the Kaggle Diabetic Retinopathy competition.

matplotlib_for_papers. Handout for the tutorial "Creating publication-quality figures with matplotlib"

caffe. Caffe: a fast open framework for deep learning.

fast-rcnn. Fast R-CNN

caffe-lstm. LSTM implementation on Caffe

pystruct. Simple structured learning framework for python

gco_python. Python wrappers for GCO alpha-expansion and alpha-beta-swaps

rcnn-depth. Learning Rich Features from RGB-D Images for Object Detection and Segmentation

ITK. Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.

SPP_net. SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition