Top Machine Learning, Deep Learning, Data Science & AI Tools, Libraries.

Apache Spark MLib – MLlib fits into Spark's APIs and interoperates with NumPy in Python (as of Spark 0.9) and R libraries (as of Spark 1.5). You can use any Hadoop data source (e.g. HDFS, HBase, or local files), making it easy to plug into Hadoop workflows. Singa, recently accepted into the Apache Incubator, is an open source framework intended to make it easy to train deep-learning models on large volumes of data.Singa provides a simple programming model for training deep-learning networks across a cluster of machines, and it supports many common types of training jobs: convolutional neural networks, restricted Boltzmann machines, and recurrent neural networks. Models can be trained synchronously (one after the other) or asynchronously (side by side), depending on whatever works best for the given problem.