mumaxu Goto Github PK

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

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

deeplearning-assignment

吴恩达-深度学习-课后作业-答案与总结

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》

download

🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴

dress

好耶 是女装

fanqiang

翻墙-科学上网

gitskills

graph

graph-neural-networks-and-its-variants

Using pytorch and DGL to compliment Graph neural networks and its variants

graphembedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

hello-world

Just another repository

kaggle

Kaggle 项目实战（教程） = 文档 + 代码 + 视频（欢迎参与）

learngit

leetcode

LeetCode题解，151道题完整版

liaogit

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.

lstm_classification

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

machine_learning_beginner

机器学习初学者公众号作品

mnist_classfication

mnist_classfication using Tensorflow