- 🔭 I’m currently working on unsupervised leanring, multi-view clustering and deep clustering
- 🤔 I’m looking for help with pasionate students who are interesting in this filed!
- 📫 Contact me: [email protected]
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Type: User
Company: Academy of Military Sciences (AMS)
Bio: I'm a resracher of machine learning and data mining, especially on optimization throey, multi-view clustering and deep clustering.
Location: Beijing
Blog: wangsiwei2010.github.io
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PyTorch implementation for COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (CVPR 2021)
Anchors Bring Ease: An Embarrassingly Simple Approach to Partial Multi-view Clustering
Implementation of "Adaptive Graph Auto-Encoder for General Data Clustering", IEEE Transactions on Pattern Analysis and Machine Intelligence.
A cross-platform desktop app to create, manage, and chat with AI agents! + Multi agent chat, branching chat and multiple API providers
Start building LLM-empowered multi-agent applications in an easier way.
Examples of how to create colorful, annotated equations in Latex using Tikz.
A curated list of awesome resources for getting-started-with and staying-in-touch-with Artificial Intelligence Alignment research.
A curated list of awesome anomaly detection resources
A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。
A comprehensive list of awesome contrastive self-supervised learning papers.
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models
A collection of papers for graph anomaly detection, and published algorithms and datasets.
Awesome Graph Self-Supervised Learning
Awesome Incremental Learning
AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets
Awesome-LLM: a curated list of Large Language Model
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
Reading list for research topics in multimodal machine learning
A curated list of Multimodal Related Research.
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
A curated list for awesome incomplete graph representation learning resources.
A topic-centric list of HQ open datasets.
【干货】史上最全的PyTorch学习资源汇总
🛠 How to Apply Causal ML to Real Scene Modeling?How to learn Causal ML?【✔从Causal ML到实际场景的Uplift建模】
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)
.Net Core 编写的跨平台的B站(哔哩哔哩)任务工具,通过GitHub Actions实现每日线上自动运行任务:每日自动登录、观看、分享、投币视频,获取每日任务的满额经验,轻松升级Level 6,实现自动领取大会员权益、月底自动为自己充电等功能。
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.