lkkljk's repositories
awesome-python-login-model
😮python模拟登陆一些大型网站，还有一些简单的爬虫，希望对你们有所帮助❤️，如果喜欢记得给个star哦🌟
BDCI2018-ChinauUicom-1st-solution
这是BDCI2018的联通赛题第一名解决方案
CEC-Corpus
:books:中文突发事件语料库（Chinese Emergency Corpus）-上海大学-语义智能实验室
Chinese-Word-Vectors
100+ Chinese Word Vectors 上百种预训练中文词向量
DC-hi_guides
[Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11
DL
DL, let's go!
DM-Competition-Getting-Started
数据挖掘竞赛(Kaggle,Data Castle,Analytics Vidhya,DrivenData)入门实践
dtm
This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.
gensim
Topic Modelling for Humans
Hands-on-Machine-Learning
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
hands-on-ml-zh
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】
Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
Matrix_Derivatives
This is a note on matrix derivatives and described my own experience in detail. Hope you'll like it.
maven-guide-zh
Maven: The Definitive Guide (Chinese)
nlp_chinese_corpus
大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP
oh-my-zsh
🙃 A delightful community-driven (with 1,300+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
python-data-science-cheatsheet
Python数据科学速查表
Python3-Spider-Actual-Combat
《python3网络爬虫开发实战》
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
pytorch-examples-cn
用例子学习PyTorch1.0（Learning PyTorch with Examples 中文翻译与学习）
tensorflow-tutorial
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
test
1111
text-classification-cnn-rnn
CNN-RNN中文文本分类，基于TensorFlow
tf-idf-keyword
基于特定语料库的TF-IDF的中文关键词提取
TIIREC
A tensor approach for tag-driven item recommendation.