Software

July 15, 2022 · View on GitHub

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
- 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.
- 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
- Neuraxle Code Machine Learning Pipelines - The Right Way
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.