Pinned Repositories
AI_Challenger_2018
AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world. https://challenger.ai/
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
CodingInterviewChinese2
《剑指Offer》第二版源代码
cs224n-winter17-notes
Course notes for CS224N Winter17
CTR_CODE
cws_evaluation
Java开源项目cws_evaluation：中文分词器分词效果评估对比
d2l-zh
《动手学深度学习》，英文版即 2019 伯克利深度学习（STAT 157）教材
Data-Science-Notes
数据科学的笔记以及资料搜集
deep-learning-HAR
Convolutional and LSTM networks to classify human activity
MuMaXu's Repositories
MuMaXu/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
MuMaXu/cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
MuMaXu/CodingInterviewChinese2
《剑指Offer》第二版源代码
MuMaXu/CTR_CODE
MuMaXu/d2l-zh
《动手学深度学习》，英文版即 2019 伯克利深度学习（STAT 157）教材
MuMaXu/Data-Science-Notes
数据科学的笔记以及资料搜集
MuMaXu/deep-learning-HAR
Convolutional and LSTM networks to classify human activity
MuMaXu/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt
MuMaXu/DL-with-Pytorch
通过pytorch框架实现李沐老师团队的出书《动手学深度学习》
MuMaXu/Dress
好耶 是女装
MuMaXu/gitskills
MuMaXu/graph
MuMaXu/Graph-neural-networks-and-its-variants
Using pytorch and DGL to compliment Graph neural networks and its variants
MuMaXu/GraphEmbedding
Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec
MuMaXu/kaggle
Kaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）
MuMaXu/learngit
MuMaXu/leetcode
LeetCode题解，151道题完整版
MuMaXu/liaogit
MuMaXu/LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
MuMaXu/lstm_classification
MuMaXu/machine_learning_beginner
机器学习初学者公众号作品
MuMaXu/mnist_classfication
mnist_classfication using Tensorflow
MuMaXu/MuMaXu.github.io
blog
MuMaXu/nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
MuMaXu/note
学习笔记整理📚
MuMaXu/pygcn
Graph Convolutional Networks in PyTorch
MuMaXu/RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
MuMaXu/stellargraph
StellarGraph - Machine Learning on Graphs
MuMaXu/tensorflow
An Open Source Machine Learning Framework for Everyone
MuMaXu/tensorflow2_tutorials_chinese
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials