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My Reading Lists of Deep Learning and Natural Language Processing
update some accounts that are not integrated with mint
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Distributed deep learning on Hadoop and Spark clusters.
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
An Open Source Machine Learning Framework for Everyone
A toolkit for developing and comparing reinforcement learning algorithms.
YOU SHOULD USE https://github.com/lepture/authlib
Unirest in Python: Simplified, lightweight HTTP client library.
Unirest in Java: Simplified, lightweight HTTP client library.
The Java gRPC implementation. HTTP/2 based RPC
C++ based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)
Twitter Text Libraries. This code is used at Twitter to tokenize and parse text to meet the expectations for what can be used on the platform.
A universal blog app built using React, Express and Cosmic
Example code from Learning Spark book
A topic-centric list of HQ open datasets.
Alluxio, data orchestration for analytics and machine learning in the cloud
Ready-to-use, manually tuned Cloudera Hadoop Distribution 5 provisioned cluster
Run Hadoop Custer within Docker Containers
😎 Awesome lists about all kinds of interesting topics
Papers from the computer science community to read and discuss.
A comprehensive, fast, pure-Python memcached client.