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Artificial Intelligence Tools & Frameworks
    PyStruct - Structured Learning in Python
    PyStruct aims at being an easy-to-use structured learning and prediction library. Currently it implements only max-margin methods and a perceptron, but other algorithms might follow. The learning a...
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    seqlearn : Sequence learning toolkit for Python

    seqlearn is a sequence classification toolkit for Python. It is designed to extend scikit-learn and offer as similar as possible an API.


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    Wapiti - A linear-chain CRF tool
    Wapiti is a very fast toolkit for segmenting and labeling sequences with discriminative models. It is based on maxent models, maximum entropy Markov models and linear-chain CRF and proposes various op...
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    CLOUD NATURAL LANGUAGE API by Google

    Derive insights from unstructured text using Google machine learning.


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    IBM Watson Conversation API
    With the IBM Watson Conversation service you can create virtual agents and bots that combine machine learning, natural language understanding, and integrated dialog tools to provide automated customer...
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    fastText from Facebook

    fastText is a library for efficient learning of word representations and sentence classification.


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    RNNLIB : recurrent neural network library
    RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognitio...
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    PaddlePaddle - PArallel Distributed Deep LEarning
    PaddlePaddle (PArallel Distributed Deep LEarning) is an easy-to-use, efficient, flexible and scalable deep learning platform, which is originally developed by Baidu scientists and engineers for the pu...
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    Excitement Open Platform for Recognizing Textual Entailment
    The Excitement Open Platform (EOP) is a generic architecture and a comprehensive implementation for textual inference in multiple languages. The platform includes state-of-art algorithms, a large numb...
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    Photon Machine Learning

    Photon Machine Learning (Photon ML) is a machine learning library based upon Apache Spark originally developed by the LinkedIn Machine Learning Algorithms team.


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    Magenta: Music and Art Generation with Machine Intelligence
    Magenta encompasses two goals. It's first a research project to advance the state-of-the art in music, video, image, and text generation. Second, it's an attempt to build a community of artists, coder...
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    TensorFlow Playground : Neural Network in Your Browser.
    Tinker With a Neural Network Right Here in Your Browser. We wrote a tiny neural network library that meets the demands of this educational visualization. For real-world applications, consider the T...
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    HyperNEAT:The Hybercube-based NeuroEvolution of Augmenting Topologies
    If you haven't heard of HyperNEAT, it is a neuroevolution method, which means it evolves artificial neural networks through an evolutionary algorithm. It is extended from a prior neuroevolution algori...
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    NEAT: The NeuroEvolution of Augmenting Topologies
    NEAT stands for NeuroEvolution of Augmenting Topologies. It is a method for evolving artificial neural networks with a genetic algorithm. NEAT implements the idea that it is most effective to start ev...
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    OpenNERO: Game platform for Artificial Intelligence research and education
    OpenNERO is an open source software platform designed for research and education in Artificial Intelligence. The project is based on the Neuro-Evolving Robotic Operatives (NERO) game developed by grad...
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    Lucida: Intelligent Personal Assistants
    As Intelligent Personal Assistants (IPA) such as Apple Siri, Google Now, Microsoft Cortana, and Amazon Echo continue to gain traction, webservice companies are now providing image, speech, and natural...
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    Semant API
    SemantAPI offers a free, open source toolkit that allows you to easily compare the most popular NLP and sentiment analysis solutions. SemantAPI comes with three great tools developed to make your ...
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    Cuda-convnet
    Usage - Compiling -- how to compile the code - Data -- how to generate training data - TrainingExample -- how to train an example network - LayerParams -- how to specify a custom network - MultiG...
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    darch
    Create deep architectures in the R programming language This package is for generating neural networks with many layers (deep architectures) and train them with the method introduced by the publicati...
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    Deeplearning4j
    Open-source, distributed, deep-learning library for the JVM Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with ...
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    MXNet
    Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more MXNet is a deep learning f...
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    H2O
    H2O scales statistics, machine learning, and math over Big Data. H2O uses familiar interfaces like R, Python, Scala, the Flow notebook graphical interface, Excel, & JSON so that Big Data enthusiast...
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    The VELES

    Distributed platform for rapid Deep learning application development.
    Written on Python, uses OpenCL or CUDA, employs Flow-Based Programming, under Apache 2.0.


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    scikit-learn : Machine Learning in Python
    Simple and efficient tools for data mining and data analysis Accessible to everybody, and reusable in various contexts Built on NumPy, SciPy, and matplotlib Open source, commercially usable - BSD li...
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    PyBrain
    PyBrain is short for Python-Based Reinforcement Learning, Artificial Intelligence and Neural Network Library. In fact, we came up with the name first and later reverse-engineered this quite descriptiv...
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    Modular toolkit for Data Processing (MDP)
    From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex...
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    Apache Mahout
    The Apache Mahout project's goal is to build an environment for quickly creating scalable performant machine learning applications. Apache Mahout software includes three major features: 1. A sim...
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    Natural Language Toolkit
    NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suit...
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    Stanford CoreNLP - A suite of core NLP tools
    Stanford CoreNLP provides a set of natural language analysis tools. It can give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize dates, time...
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    Apache OpenNLP
    The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-...
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