monk

Computation using data flow graphs for scalable machine learning

Caffe: a fast open framework for deep learning.

Mirror of Apache Spark

scikit-learn: machine learning in Python

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

http://torch.ch

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

Library for fast text representation and classification.

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

A toolkit for developing and comparing reinforcement learning algorithms.

Fast, scalable, easy-to-use Python based Deep Learning Framework by Nervana™

Numpy main repository

Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

Deep learning library featuring a higher-level API for TensorFlow.

Super Resolution for images using deep learning.

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython