awesome-deeplearning-resources

Software

• Python
  • Aorun Deep Learning over PyTorch
  • Chainer Chainer bridge the gap between algorithms and implementations of deep learning.
  • ChainerMN ChainerMN: Scalable distributed deep learning with Chainer
  • ChainerRL A deep reinforcement learning library built on top of Chainer.
  • Coach Reinforcement Learning Coach by Intel
  • Colossal-AI A Unified Deep Learning System for Big Model Era
  • DeepPy A Pythonic deep learning framework built on top of NumPy.
  • Deepnet A GPU-based python implementation of deep learning algorithms.
  • Deepgaze A computer vision library for human-computer interaction based on CNNs
  • Determined Deep learning training platform with integrated support for distributed training, hyperparameter tuning, smart GPU scheduling, experiment tracking, and a model registry.
  • Edward A library for probabilistic modeling, inference, and criticism.
  • Elephas Distributed Deep learning with Keras & Spark.
  • fastaiThe fast.ai deep learning library, lessons, and tutorials
  • fenn A framework that automates ML/DL workflows with built-in tools and templates.
  • Gensim Deep learning toolkit implemented in python programming language intended for handling large text collections, using efficient algorithms.
  • Hebel A library for deep learning with neural networks in Python using GPU acceleration with CUDA through PyCUDA.
  • Keras Deep Learning library for Theano and TensorFlow. :star:
  • Kur Descriptive Deep Learning. :star:
  • Mujoco-py MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
  • Neon Neon is Nervana’s Python based Deep Learning framework.
  • Neuraxle Code Machine Learning Pipelines - The Right Way
  • Pyclustering A Python, C++ data mining clustering, graph coloring algorithms, oscillatory networks, neural networks library.
  • PyTorch Tensors and Dynamic neural networks in Python with strong GPU acceleration. :star:
  • Scikit-Learn Machine learning in Python. :star:
    • Semisup-Learn Semi-supervised learning frameworks for Python
  • SerpentAI Game Agent Framework. Helping you create AIs / Bots to play any game you own
  • Skll SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
  • Sonnet TensorFlow-based neural network library
  • Tensorflow An open source software library for numerical computation using data flow graph by Google :star:
    • Polyaxon Deep Learning library for TensorFlow for building end to end models and experiments.
  • TensorFX An end to end application framework to simplifies machine learning with TensorFlow
  • Theano Mathematical library in Python, maintained by LISA lab
    • Pylearn2 Theano-based deep learning libraries
    • Blocks A framework that helps you build neural network models on top of Theano :star:
    • Lasagne Lightweight library to build and train neural networks in Theano.
  • WebDNN Fastest DNN Execution Framework on Web Browser
• C++
  • Caffe Deep learning framework by the BVLC :star:
  • clDNN Compute Library for Deep Neural Networks
  • CNTK The Microsoft Cognitive Toolkit.
  • DeepDetect Open Source Deep Learning Server & API
  • DIGITS A new system for developing, training and visualizing deep neural networks.
  • Dlib A modern C++ toolkit containing machine learning algorithms and tools for creating complex software in C++.
  • Dll Deep Learning Library
  • DSSTNE An Amazon developed library for building Deep Learning (DL) machine learning (ML) models.
  • Jik Lightweight Deep Learning Framework
  • Kann A lightweight C library for artificial neural networks
  • OpenNN OpenNN - Open Neural Networks Library
  • PaddlePaddle An easy-to-use, efficient, flexible and scalable deep learning platform.
  • MaTEx Machine Learning Toolkit for Extreme Scale
  • MRPT The Mobile Robot Programming Toolkit (MRPT)
  • MXNet A flexible and efficient deep learning library for heterogeneous distributed systems with multi-language support :star:
    • MinPy Providing a high performing and flexible deep learning platform, by prototyping a pure NumPy interface above MXNet backend.
  • Neural Designer Neural Designer is the most advanced analytics software
  • NNabla NNabla is a deep learning framework that is intended to be used for research, development and production
  • NVIDIA TensorRT High performance deep learning inference for production deployment
  • Singa An Apache Incubating project for developing an open source deep learning library.
  • Tiny-dnn A C++11 implementation of deep learning.
• Java
  • Stanford CoreNLP A Java suite of core NLP tools.
  • Deeplearning4J Neural Net Platform.
  • NeuralNetworks This is a Java implementation of some of the algorithms for training deep neural networks.
  • NewralNet A lightweight, easy to use and open source Java library for experimenting with feed-forward neural nets and deep learning.
• Scala
  • BigDL Distributed Deep learning on Apache Spark.
• Julia
  • Knet The Koç University deep learning framework implemented in Julia.
  • Mocha A Deep Learning framework for Julia, inspired by the C++ framework Caffe.
• Js
  • Brain Brain.js is a library of JavaScript neural networks.
  • Deeplearnjs A hardware-accelerated machine intelligence library for the web.
  • Keras-js Run Keras models (tensorflow backend) in the browser, with GPU support.
  • Neataptic Flexible neural network library with advanced neuroevolution
  • Neurojs A javascript deep learning and reinforcement learning library.
  • Synapses A lightweight library for neural networks that runs anywhere.
• Matlab
  • MatConvNet CNNs for MATLAB
  • DLMatFramework Deep Learning Matlab Framework
• Lua
  • OpenNMT Open-Source Neural Machine Translation
  • Torch7 Deep learning library in Lua, used by Facebook and Google Deepmind :star:
• Php
  • PHP-ML Machine Learning library for PHP
• Dub
  • Vectorflow A minimalist neural network library optimized for sparse data and single machine environments.

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