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Name: LiuJing
Type: User
Company: Ph.D.@ICT
Bio: Heterogeneous Graph Neural Network, Knowledge Distillation
Location: Beijing@ICT, UCAS
Name: LiuJing
Type: User
Company: Ph.D.@ICT
Bio: Heterogeneous Graph Neural Network, Knowledge Distillation
Location: Beijing@ICT, UCAS
100-Days-Of-ML-Code中文版
Experiments with Adam/AdamW/amsgrad
Roadmap to becoming an Artificial Intelligence Expert in 2022
该仓库尝试整理推荐系统领域的一些经典算法模型
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
My future research
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
Awesome Knowledge-Distillation for CV
A topic-centric list of HQ open datasets.
Recommender System Papers
Unofficial pytorch implementation of Born-Again Neural Networks.
科研工作专用ChatGPT/GLM拓展,特别优化学术Paper润色体验,模块化设计支持自定义快捷按钮&函数插件,支持代码块表格显示,Tex公式双显示,新增Python和C++项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持gpt-3.5/gpt-4/chatglm
Official Matplotlib cheat sheets
Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"
Acceptance rates for the major AI conferences
Relevant papers in Continual Learning
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
Samples for users of the Yelp Academic Dataset
The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective (CVPR'22).
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
[KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)
Distilling Multi-teacher Knowledge from Graph Neural Networks with Distinct Architectures
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.