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100-days-of-ml-code

100 Days of ML Coding

albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

algo

数据结构和算法必知必会的50个代码实现

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

architect-awesome

后端架构师技术图谱

awesome-deep-learning-papers

The most cited deep learning papers

awesome-knowledge-graph

整理知识图谱相关学习资料

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-python-cn

Python资源大全中文版，包括：Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等，由伯乐在线持续更新。

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

baidupcs-go

百度网盘客户端 - Go语言编写

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bitcoin

Bitcoin Core integration/staging tree

bitover.github.io

caddy

Fast and extensible multi-platform HTTP/3 web server with automatic HTTPS

cail

Chinese AI & Law Challenge

chatbot_cn

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

chinese-word-vectors-1

100+ Chinese Word Vectors 上百种预训练中文词向量

cnlist

cnschema

coding-interview-university

A complete computer science study plan to become a software engineer.

course-nlp

A Code-First Introduction to NLP course

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

cs229_ml

🍟 Stanford CS229: Machine Learning

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datawhale_learning

Datawhale_Learning涵盖了AI领域从理论知识到动手实践的学习内容

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.