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/HIT-Courses
哈尔滨工业大学课程资料分享
richardodliu/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。
richardodliu/Competitive-Programming-Docs
🌺算法竞赛论文，课件，文档，笔记，平台等资料，不断更新中
richardodliu/course.math_theory_nn
Summer course on mathematical theory of deep learning
richardodliu/deep-learning-from-scratch
Source code and pdf from the book 《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)。
richardodliu/deeplearningbook-chinese
Deep Learning Book Chinese Translation
richardodliu/ExpressGNN
richardodliu/Factor-Graph-Neural-Network
Factor Graph Neural Network
richardodliu/Fashion-Editing
Fashion editing on Pytorch (python)
richardodliu/FlowScope
Implementation code of algorithm described in FlowScope: Spotting Money Laundering Based on Graphs. and thanks for the contribution of the coworkers , i.e. , Shenghua Liu and ZiFeng Li.
richardodliu/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
richardodliu/GNN-logic
richardodliu/HsuanTienLin_MachineLearning
richardodliu/HyperDL-Tutorial
深度学习教程整理 | 干货
richardodliu/Machine-Learning-in-Action-Python3
《机器学习实战》python3源码
richardodliu/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
richardodliu/Machine_Learning_AndrewNg
Homework of Andrew Ng's "Machine Learning" course in Coursera
richardodliu/MachineLearningLectureNotes
张志华机器学习导论MOOC讲义
richardodliu/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
richardodliu/NJUCS
南京大学计算机科学与技术845考研资料：真题、期末考试、PPT、模拟题、参考书及课后答案、报录比、经验等等
richardodliu/OI-Public-Library
OI essays and learning materials
richardodliu/pgm_graph_inference
Using Graph neural networks for probabilistic approximate inference.
richardodliu/practicalAI-cn
AI实战-practicalAI 中文版
richardodliu/PRMLT
Matlab code for machine learning algorithms in book PRML
richardodliu/Tensorflow-Cookbook
Simple Tensorflow Cookbook for easy-to-use
richardodliu/xblock-network_analysis