Pinned Repositories
AlphaTree-graphic-deep-neural-network
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱
An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
CS-BAOYAN
计算机保研交流群（QQ群号：605176069）
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
HIT-Courses
哈尔滨工业大学课程资料分享
HITCS-OPEN-COURSES
ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
OpenCodeEval
RateMySupervisor
永久免费开源的导师评价数据、数据爬虫、无需编程基础的展示网页以及新信息补充平台
richardodliu's Repositories
richardodliu/CS-BAOYAN
计算机保研交流群（QQ群号：605176069）
richardodliu/OpenCodeEval
richardodliu/HITCS-OPEN-COURSES
richardodliu/AlphaTree-graphic-deep-neural-network
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱
richardodliu/An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
richardodliu/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
richardodliu/benchmarking-gnns
Repository for benchmarking graph neural networks
richardodliu/Clash-for-Windows_Chinese
clash for windows汉化版. 提供clash for windows的汉化版, 汉化补丁及汉化版安装程序
richardodliu/Clash_backup
与 Clash 相关的备份，过一段时间再重新上传
richardodliu/DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
richardodliu/dynamic-graph-papers
动态图表示论文汇总
richardodliu/ESL-CN
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
richardodliu/GraphCL
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
richardodliu/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
richardodliu/MLAPP_CN_CODE
《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。
richardodliu/netron
Visualizer for neural network, deep learning, and machine learning models
richardodliu/Open-API-SDK-V5
richardodliu/PlotNeuralNet
Latex code for making neural networks diagrams
richardodliu/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
richardodliu/Project_CodeNet
This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX
richardodliu/pyod
(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
richardodliu/pytorch-doc-zh
Pytorch 中文文档
richardodliu/pytorch-generative-adversarial-networks
A very simple generative adversarial network (GAN) in PyTorch
richardodliu/PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
richardodliu/pyUmbral
NuCypher's reference implementation of Umbral (threshold proxy re-encryption) using OpenSSL and Cryptography.io
richardodliu/richardodliu
Config files for my GitHub profile.
richardodliu/suggested-notation-for-machine-learning
This introduces a suggestion of mathematical notation protocol for machine learning.
richardodliu/TopPaper
Classic papers for beginners, and impact scope for authors.
richardodliu/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
richardodliu/xtuner
XTuner is a toolkit for efficiently fine-tuning LLM