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1024_beauty

reply randomize beauty image to user by sending 1024 to Wechat

2016ccf-sougou

2016CCF-sougou-code&PPT

2017-jdd-global-data-explorer-competition

2017京东金融全球数据探索者大赛(3rd place)

5th_place_solution_facebook_check_ins

My solution rank 5th/1212 in Facebook check ins prediction competition at Kaggle

algorithm

algorithmssedgewick

Code from the book "Algorithms" (4th ed.) by Robert Sedgewick and Kevin Wayne (original, and my solutions to exercises).

alitianchi

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

anyq

FAQ-based Question Answering System

awesome-interview

Collection of awesome interview references.

awesome-python-cn

Python资源大全中文版，内容包括：Web框架、网络爬虫、网络内容提取、模板引擎、数据库、数据可视化、图片处理、文本处理、自然语言处理、机器学习、日志、代码分析等

chatbot-zh-torch7

中文Neural conversational model in Torch

chatterbot

ChatterBot is a machine learning, conversational dialog engine for creating chat bots.

chinese_correct_wsd

简易的中文纠错和消歧

core-algorithm

《算法导论》(第3版) 算法集锦

core-scrapy

python-scrapy demo

cppjieba

"结巴"中文分词的C++版本

daguan_cup

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

deep_learning

基础的深度学习实验研究结果汇总笔记

deeplearning

深度学习相关的模型训练、评估和预测相关代码

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningcoursecodes

deepmatch

A deep matching model library for recommendations, advertising, and search. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.

deepthought

deepThought is a conversational smart bot

distribute_crawler

使用scrapy,redis, mongodb,graphite实现的一个分布式网络爬虫,底层存储mongodb集群,分布式使用redis实现,爬虫状态显示使用graphite实现

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

effectivetensorflow

Guides and best practices for effective use of Tensorflow

finetune_classification

使用 TensorFlow 进行 finetuning 的通用分类模型

focal-loss-implement-on-tensorflow

The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.