CedricXu

CedricXu's Stars

• lyhue1991/eat_tensorflow2_in_30_days

  Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

  Language:Python9.9k2.5k

• lyhue1991/eat_pytorch_in_20_days

  Pytorch🍊🍉 is delicious, just eat it! 😋😋

  Language:Jupyter Notebook5k1.1k

• ShusenTang/Dive-into-DL-PyTorch

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

  Language:Jupyter Notebook18.2k5.4k

• THU-IMIS-Student-Group/Knowledge-Base

  A knowledge share repository for Tsinghua University Information Management and Information Systems.

  Language:Jupyter Notebook198

• asadoughi/stat-learning

  Notes and exercise attempts for "An Introduction to Statistical Learning"

  Language:HTML2.1k1.6k

• alibaba/euler

  A distributed graph deep learning framework.

  Language:C++2.9k559

• L1aoXingyu/code-of-learn-deep-learning-with-pytorch

  This is code of book "Learn Deep Learning with PyTorch"

  Language:Jupyter Notebook2.8k1.2k

• qcymkxyc/RecSys

  项亮的《推荐系统实践》的代码实现

  Language:Jupyter Notebook479140

• muhanzhang/SEAL

  SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".

  Language:C580138

• facebookresearch/dlrm

  An implementation of a deep learning recommendation model (DLRM)

  Language:Python3.7k825

• datawhalechina/leedl-tutorial

  《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

  Language:Jupyter Notebook13k2.8k

• bwange/Item2vec_Tutorial_with_Recommender_System_Application

  Item2vec_tutorial_git

  Language:Jupyter Notebook10529

• aditya-grover/node2vec

  Language:Scala2.6k912

• snap-stanford/snap

  Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

  Language:C++2.2k797

• eliorc/node2vec

  Implementation of the node2vec algorithm.

  Language:Python1.2k247

• yazdotai/graph-networks

  A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

  26958

• williamleif/GraphSAGE

  Representation learning on large graphs using stochastic graph convolutions.

  Language:Python3.4k842

• yushuai/FISM

  implementation for the paper "FISM: Factored Item Similarity Models for Top-N Recommender Systems" by Tensorflow 1.2

  Language:Python229

• google-deepmind/graph_nets

  Build Graph Nets in Tensorflow

  Language:Python5.3k783

• MyTHWN/MTER

  Explainable Recommendation via Multi-Task Learning in Opinionated Text Data

  Language:Python3912

• Doraemonzzz/Learning-from-data

  记录Learning from data一书中的习题解答

  Language:Jupyter Notebook969324

• scutan90/DeepLearning-500-questions

  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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.2k15.8k

• datawhalechina/pumpkin-book

  《机器学习》（西瓜书）公式详解

  23.7k4.7k

• TaoMiner/joint-kg-recommender

  Language:Python23956

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python20.9k3.6k

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python61.1k10.8k

• zergtant/pytorch-handbook

  pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

  Language:Jupyter Notebook20.1k5.4k

• MLEveryday/100-Days-Of-ML-Code

  100-Days-Of-ML-Code中文版

  Language:Jupyter Notebook21k5.4k

• lexfridman/mit-deep-learning

  Tutorials, assignments, and competitions for MIT Deep Learning related courses.

  Language:Jupyter Notebook10.1k2.2k

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37k5.9k