1170300714

MiniGPT-4

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

yolov10

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

tensorboardX

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

bypy

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

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.

VideoMAE

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

ovsam

[ECCV 2024] The official code of paper "Open-Vocabulary SAM".

BHYG

B站 会员购 抢票 脚本

CLIP-Driven-Universal-Model

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

fedavgpy

On the Convergence of FedAvg on Non-IID Data

FedDG-ELCFS

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

EndoSLAM

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

Polyp-PVT

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

M3D

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

FedShare

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

FedProx-PyTorch

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

FedNTD

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

SurgicalSAM

[AAAI2024] Official implementation of SurgicalSAM

EAD2019

Github pages

FedLC

[ECCV 2022] Personalizing Federated Medical Image Segmentation

weakly-polyp

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

FSS

Prototype-based Incremental Few-Shot Semantic Segmentation

pixel-lesion-patient-network

labeled-images-for-ulcerative-colitis

Codes to process and train LIMUC dataset

PriViLege

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

TF-Cholec80

Library packaging the Cholec80 dataset for easy handling with Tensorflow.

FedCL

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

EPI

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

Sinus-Surgery-Endoscopic-Image-Datasets

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

FSCILSS

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