1170300714

BHYG

tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

FSCILSS

Few-shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge Distillation

FSS

Prototype-based Incremental Few-Shot Semantic Segmentation

ovsam

[arXiv preprint] The official code of paper "Open-Vocabulary SAM".

TF-Cholec80

Library packaging the Cholec80 dataset for easy handling with Tensorflow.

EAD2019

Github pages

M3D

M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

Sinus-Surgery-Endoscopic-Image-Datasets

Novel image segmentation datasets collected from endoscopic videos of sinus surgery processes

labeled-images-for-ulcerative-colitis

Codes to process and train LIMUC dataset

EndoSLAM

EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner

weakly-polyp

[MICCAI'22] Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.

pixel-lesion-patient-network

VideoMAE

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

PriViLege

[CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners

EPI

Code for the paper: Rehearsal-free Continual Language Learning via Efficient Parameter Isolation

bypy

Python client for Baidu Yun (Personal Cloud Storage) 百度云/百度网盘Python客户端

MiniGPT-4

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

SurgicalSAM

[AAAI2024] Official implementation of SurgicalSAM

FedDG-ELCFS

[CVPR'21] FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

FedLC

[ECCV 2022] Personalizing Federated Medical Image Segmentation

Polyp-PVT

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

FedCL

The implementation of "Continual Local Training for Better Initialization of Federated Models" (ICIP 2020).

yolov10

YOLOv10: Real-Time End-to-End Object Detection

CLIP-Driven-Universal-Model

[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

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.

FedNTD

(NeurIPS 2022) Official Implementation of "Preservation of the Global Knowledge by Not-True Distillation in Federated Learning"

fedavgpy

On the Convergence of FedAvg on Non-IID Data

FedProx-PyTorch

PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).

FedShare

PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.