andrewzrant's Stars
Vay-keen/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!
kangjianwei/Data-Structure
《数据结构》-严蔚敏.吴伟民-教材源码与习题解析
blackholll/loonflow
基于django的工作流引擎,工单(a workflow engine base on django python)
hangsz/pandas-tutorial
适合初级到中级晋升者,有了体系之后就看熟练度了。
hexiangnan/neural_collaborative_filtering
Neural Collaborative Filtering
lework/kainstall
Use shell scripts to install kubernetes(k8s) high availability clusters and addon components based on kubeadmin with one click.使用shell脚本基于kubeadmin一键安装kubernetes 高可用集群和addon组件。
YaoGuangyuan/Study-PlayWithDataStruct
《大话数据结构》源代码
RuidongZ/Deep_Matrix_Factorization_Models
Implementation of the "Deep Matrix Factorization Models for Recommender Systems"
gatapia/py_ml_utils
Some small utility modules to help with pandas, numpy and sklearn usage in other projects
skywaLKer518/A-Recsys
A Tensorflow based implicit recommender system
poetries/Data-Structure
数据结构学习笔记
guoday/ICME2019-CTR
The Code for ICME2019 Grand Challenge: Short Video Understanding (Single Model Ranks 6th)
familyld/DeepCF
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
familyld/learnpython
Python学习笔记
lh233/C-knowledge
关于C语言的基础知识
okotaku/pet_finder
cyhong549/DeepFM-Keras
lessonnair/nlp_pos
HarleysZhang/data_analysis_notes
数据分析学习笔记,包括numpy、pandas、matplotlib、Seaborn库学习笔记,以及数据挖掘及分析实例
spoock1024/ebpf-example
Various examples of using eBPF code
upura/upura.hatenablog
Samples for upura.hatenablog
luogantt/recommend_sys
totoruo/TSA2018-rank12
2018腾讯广告算法大赛代码
timtingwei/dsac
《数据结构》陈越 +《数据结构》严蔚敏:笔记+代码
XianglongTan/CIKM
beyondguo/data_structure_learning
data structure learning in C/C++
sunchenglong/algorithm-essentials
算法精粹--举一反三,抛弃题海战术
heucoder/umap
Uniform Manifold Approximation and Projection
xiaoweix/dataStructure
数据结构相关代码
kevinhanna/Elo_kaggle