dhiyu
Follow
Lists (12)
Book&Guide
1 repository
Classification
Classifications.Denoiser
Image denoiser.1 repository
Framework
AI Frameworks.1 repository
My Projects
Noisy PLL
Code and Research for Noisy Partial Label Learning.2 repositories
Object Detection
Object Detection1 repository
Openmmlab
Mmcv and mmdetection and mmclassification.2 repositories
Starred repositories
A curated list of most recent papers & codes in Learning with Partial/Complementary Labels
AcadHomepage: A Modern and Responsive Academic Personal Homepage
trzsz-ssh ( tssh ) is an ssh client designed as a drop-in replacement for the openssh client. It aims to provide complete compatibility with openssh, mirroring all its features, while also offering…
The Excel add-in for creating LaTeX tables
📄 Awesome CV is LaTeX template for your outstanding job application
mPLUG-Owl: The Powerful Multi-modal Large Language Model Family
Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning
An open-source framework for training large multimodal models.
NLNL: Negative Learning for Noisy Labels
Official code of "IRNet: Iterative Refinement Network for Noisy Partial Label Learning"
Machine Learning Toolkit for Kubernetes
A library for efficient similarity search and clustering of dense vectors.
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
pix2tex: Using a ViT to convert images of equations into LaTeX code.
使深信服（Sangfor）开发的非自由的 VPN 软件 EasyConnect 和 aTrust 运行在 docker 或 podman 中，并作为网关和/或提供 socks5、http 代理服务
cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，支持sso登录，大数据平台对接，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU，边缘计算，标注平台，自动化标注，大模型微调，vllm大模型推理，llmops，私有知识库，AI模型应用商店，支持模型一键开发/推理/微调，支持国产cpu/gpu/npu芯片，支持R…
A kubernete controller to commit and push a container image
Go语言开发的端口转发工具 for port data forward (TavenLi)
Making Docker and Kubernetes management easy.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Resource scheduling and cluster management for AI
PyTorch implementation for the paper Class-incremental Novel Class Discovery (ECCV 2022)
CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
Learning with Noisy Labels by adopting a peer prediction loss function (deep learning & multi-class version).
