RealRui's starred repositories

langchain

🦜🔗 Build context-aware reasoning applications

Language:Jupyter NotebookLicense:MITStargazers:93029Issues:684Issues:7669

so-vits-svc

SoftVC VITS Singing Voice Conversion

Language:PythonLicense:AGPL-3.0Stargazers:25509Issues:177Issues:130

segment-anything-2

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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llm-action

本项目旨在分享大模型相关技术原理以及实战经验。

Language:HTMLLicense:Apache-2.0Stargazers:9409Issues:81Issues:21

FastSAM

Fast Segment Anything

Language:PythonLicense:AGPL-3.0Stargazers:7390Issues:57Issues:203

ChatLaw

ChatLaw:A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

NLP_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力

MobileSAM

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:4723Issues:44Issues:123

VLM_survey

Collection of AWESOME vision-language models for vision tasks

software-engineering-document

软件工程常用文档模板及示例:可行性分析报告、开发计划、需求分析文档、概要设计文档、详细设计文档、用户操作手册、测试计划、测试分析报告、开发进度报告、项目开发总结报告、软件维护手册等

SAMed

The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"

Language:PythonLicense:MITStargazers:468Issues:4Issues:57

SARDet_100K

Offical implementation of MSFA and release of SARDet_100K dataset (NeurIPS 2024 spotlight) for Large-Scale Synthetic Aperture Radar (SAR) Object Detection

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Event_based_VO-VIO-SLAM

Our Works in Event-based VO/VIO/SLAM

Language:C++License:MITStargazers:229Issues:6Issues:14

FoodSAM

FoodSAM: Any Food Segmentation

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HFL_Survey

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

COALA

COALA: A Practical and Vision-Centric Federated Learning Platform, accepted to ICML'24

Language:PythonLicense:Apache-2.0Stargazers:102Issues:1Issues:2

Federated-learning-papers

Papers related to federated learning in top conferences (2020-2024).

FedRolex

[NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan, and Mi Zhang

Language:PythonLicense:Apache-2.0Stargazers:58Issues:2Issues:9

FedFA

ICLR 2023 - FedFA: Federated Feature Augmentation

Language:PythonLicense:Apache-2.0Stargazers:55Issues:3Issues:3

FedPAC

Simplified Implementation of FedPAC

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Federated-Learning-with-Heterogeneous-Data-Handling-for-Robust-Vehicular-Perception

This is the official repository for the Paper "Federated Learning with Heterogeneous Data Handling for Robust Vehicular Perception" submitted to the IEEE IV 2024.

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