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简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。
Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.
Always know what to expect from your data.
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Perform data science on data that remains in someone else's server
Toturials coming with the "data science roadmap" picture.
基于Flask Web的中文自动语音识别演示系统,包含语音识别、语音合成、声纹识别之说话人识别。
Public facing deployment for voila-gallery.org
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
MLOps tutorial using Python, Docker and Kubernetes.
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Snorkel MeTaL: A framework for training models with multi-task weak supervision
A system for quickly generating training data with weak supervision
A system for generating training labels via natural language explanations
A Flexible and Powerful Parameter Server for large-scale machine learning
此项目完成了关于 NLP-Beginner：自然语言处理入门练习 的所有任务，所有代码都经过测试,可以正常运行。
Zipline, a Pythonic Algorithmic Trading Library
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
Python scripts for evaluating NLU services (like API.ai, RASA, Microsoft LUIS, ...)
Copora for evaluating NLU Services/Platforms such as Dialogflow, LUIS, Watson, Rasa etc.
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
PlaidML is a framework for making deep learning work everywhere.