Two eye-catching Machine-Learning libraries, PHP-ML and Skale-ML, written in PHP and Node.js respectively, are found in this week. Is this a sign of the up-coming wide-spread of ML everywhere?
Special thanks to Nam Vu (@zuzoovn) for contributing his ML learning resource collection!
Machine Learning for Software Engineers by Nam Vu
A complete daily plan for studying to become a machine learning engineer.
Predict scores of NBA games using matrix completion.
A TensorFlow Workshop
Slides and code from our TensorFlow Workshop.
A tool for monitoring and tuning Spark jobs for efficiency.
The missing MatPlotLib for Scala + Spark.
JDBC driver for Elasticsearch.
An open-source DMS (data management system) for powering data hubs and data portals.
A Solr browser and administration tool.
A development environment for deep learning.
A Deep learning based chatbot.
Accelerating Eulerian Fluid Simulation With Convolutional Networks.
Image-to-image translation using conditional adversarial nets.
Machine Learning library for PHP.
Nez is an open grammar specification language based on parsing expression grammars.
Machine learning library for Skale Engine.
High performance distributed data processing engine.
A free and open source Java framework for building Semantic Web and Linked Data applications.
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Looking for more BigData or Machine Learning repositories? You can find a lot more tools, frameworks and libraries at PocketCluster Index.
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