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100-days-of-ml-code

100-Days-Of-ML-Code中文版

100-days-of-ml-code-1

100 Days of ML Coding

2016_ccfsougou2

2016ccf-sougou

CCF2016 - TNT_000二等奖作品

aca

No.2 solution of Open Academic Data Challenge 2017

ageron_handson-ml

Hands-On Machine Learning with Scikit-Learn & TensorFlow (O'Reilly)

agri_kg_qa

agriculture_knowledgegraph

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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

atrank

An Attention-Based User Behavior Modeling Framework for Recommendation

awesome-ai-infrastructures

Infrastructures™ for Machine Learning Training/Inference in Production.

awesome-bert

bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

awesome-kgqa

A collection of some materials of knowledge graph question answering

awesome-knowledge-graph

整理知识图谱相关学习资料

awesome-knowledge-graph-1

A collection of knowledge graph papers and reading notes.

awesome-recommender-systems

A curated list of awesome resources about Recommender Systems.

awesome-recsys-papers

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

awesome-taxonomy

A curated resource for taxonomy research

bdci_car_2018

BDCI 2018 汽车行业用户观点主题及情感识别 决赛一等奖方案

beatles

bert

TensorFlow code and pre-trained models for BERT

bert-classification-tutorial

bert-utils

BERT生成句向量，BERT做文本分类、文本相似度计算

bert_language_understanding

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

bert_paper_chinese_translation

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 论文的中文翻译。Chinese Translation!

bookrecommend

图书推荐系统，基于商品的协同过滤算法实现

bookrecsys

图书推荐系统

books

技术书籍分享

building-machine-learning-systems-with-python-third-edition

Code repository for Building Machine Learning Systems with Python Third Edition, by Packt