Displaying 1 to 15 from 15 results

CNTK - Computational Network Toolkit (CNTK)

The Microsoft Cognitive Toolkit is a free, easy-to-use, open-source, commercial-grade toolkit that trains deep learning algorithms to learn like the human brain. It is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph.

TensorFlow - Artificial Intelligence Library from Google

TensorFlow is a library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code.

MXNet - A Deep Learning Framework

MXNet is an open-source deep learning framework that allows you to define, train, and deploy deep neural networks on a wide array of devices, from cloud infrastructure to mobile devices. It is highly scalable, allowing for fast model training, and supports a flexible programming model and multiple languages. MXNet allows you to mix symbolic and imperative programming flavors to maximize both efficiency and productivity.

ConvNetJS - Javascript implementation of Neural networks

ConvNetJS is a Javascript implementation of Neural networks, It currently supports Common Neural Network modules, Classification (SVM/Softmax) and Regression (L2) cost functions, A MagicNet class for fully automatic neural network learning (automatic hyperparameter search and cross-validatations), Ability to specify and train Convolutional Networks that process images, An experimental Reinforcement Learning module, based on Deep Q Learning.

DeepDetect - Deep Learning Server

DeepDetect is an Instant Machine Learning for your Applications. It can classify images, text and numerical data from your application or the command line by series of simple calls to the deep learning server. A simple yet powerful and generic API for use of Machine Learning.

Caffe - Deep Learning Framework from Berkley Vision

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors.

H2O - Fast Scalable Machine Learning API For Smarter Applications

H2O is for data scientists and application developers who need fast, in-memory scalable machine learning for smarter applications. H2O is an open source parallel processing engine for machine learning. Unlike traditional analytics tools, H2O provides a combination of extraordinary math, a high performance parallel architecture, and unrivaled ease of use.

Mycroft - an Artificial intelligence for everyone

Mycroft is an Artificial intelligence for everyone. It uses open software to process natural language, determine your intent and take action. It can integrate a host of professional functions – Control scenes to conserve power, grant office access with your voice. It can control all of your media and devices with the sound of your voice. Adjust your thermostat, turn on your lights, water your lawn, play your favorite movie and lot more.

Amazon DSSTNE: Deep Scalable Sparse Tensor Network Engine

DSSTNE (pronounced "Destiny") is an open source software library for training and deploying recommendation models with sparse inputs, fully connected hidden layers, and sparse outputs. Models with weight matrices that are too large for a single GPU can still be trained on a single host. DSSTNE has been used at Amazon to generate personalized product recommendations for our customers at Amazon's scale.

Sonnet - Library built on top of TensorFlow for building complex neural networks

Sonnet is a library built on top of TensorFlow for building complex neural networks. The library uses an object-oriented approach, similar to Torch/NN, allowing modules to be created which define the forward pass of some computation. Modules are called with some input Tensors, which adds ops to the Graph and returns output Tensors.

Abot - Digital Assistant Framework

Abot (pronounced Eh-Bot, like the Canadians) is a digital assistant framework that enables anyone to easily build a digital assistant similar to Apple's Siri, Microsoft's Cortana, Google Now, or Amazon Alexa. Further, Abot supports a human-aided training backend enabling anyone to build services like Facebook M. Abot is the first A.I. framework that aims to be available everywhere and— ultimately—to do everything.

OpenCog - Framework to build Artificial Intelligence Programs

The OpenCog Framework is a platform to build and share artificial intelligence programs. It includes components for procedural and declarative knowledge representation (AtomSpace), task scheduling (CogServer), AI algorithm containers (MindAgents), connectors to instant messaging and virtual world systems, and other components. MindAgents and other add-ons explore a wide variety of AI techniques including evolutionary program learning (MOSES), natural language processing, and others.

Ghost Perl Webserver Strong AI

Ghost Perl Webserver Strong AI thinks in English or Russian by spreading activation among concepts.

OSTINATO - A chess library that runs on the server (Scala), on the browser (ScalaJS) and on the REPL

OSTINATO is a chess library that runs on the server (Scala), on the browser (ScalaJS) and on the REPL. It supports the following Chess notations (with variants): PGN, Algebraic, Figurine, Coordinate, Descriptive, ICCF, Smith and FEN.

Perfect-TensorFlow - TensorFlow C API Class Wrapper in Server Side Swift.

This project is an experimental wrapper of TensorFlow C API which enables Machine Learning in Server Side Swift.This package builds with Swift Package Manager and is part of the Perfect project but can also be used as an independent module.