Comparison of deep learning software/Resources

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Deep learning software not yet covered

This is a list of deep learning software that is not listed on the main page because they lack a Wikipedia article. If you would like to see any of these pieces of software listed there, you are welcome to create a Wikipedia article for it.

• adnn[1] - Javascript neural networks
• Blocks[2] - Theano framework for building and training neural networks
• Caffe2[3] - Deep learning framework built on Caffe, developed by Facebook in cooperation with NVIDIA, Qualcomm, Intel, Amazon, and Microsoft
• CaffeOnSpark[4] - Scalable deep learning package running Caffe on Spark and Hadoop clusters with peer-to-peer communication
• Chainer[5] - Flexible neural network framework, adopting a "Define-by-run" scheme where the actual forward computation defines the network
• CNNLab[6] - Deep learning framework using GPU and FPGA-based accelerators
• ConvNetJS[7] - Javascript library for training deep learning models entirely in a web browser
• Cortex - Theano-based deep learning toolbox for neuroimaging
• cuDNN[8] - Optimized deep learning computation primitives implemented in CUDA
• CURRENNT[9] - CUDA-accelerated toolkit for deep Long Short-Term Memory (LSTM) RNN architectures supporting large data sets not fitting into main memory.
• Darknet[10] - Darknet is an open source neural network framework written in C and CUDA, and supports CPU and GPU computation.
• DeepCL[11] - OpenCL library to train deep convolutional networks, with APIs for C++, Python and the command line
• deeplearn.js[12] - Hardware-accelerated deep learning library for the web browser
• DeepLearningKit[13] - Open source deep learning framework for iOS, OS X and tvOS
• DeepLearnToolbox[14] - Matlab/Octave toolbox for deep learning (deprecated)
• DeepX[15] - Software accelerator for deep learning execution aimed towards mobile devices
• deepy[16] - Extensible deep learning framework based on Theano
• DSSTNE[17] (Deep Scalable Sparse Tensor Network Engine) - Amazon developed library for building deep learning models
• Faster RNNLM (HS/NCE) toolkit[18] - An rnnlm implementation for training on huge datasets and very large vocabularies and usage in real-world ASR and MT problems
• GNU Gneural Network[19] - GNU package which implements a programmable neural network
• IDLF[20] - Intel® Deep Learning Framework; supports OpenCL (deprecated)
• Intel Math Kernel Library (Intel MKL), library of optimized math routines, including optimized deep learning computation primitives
• Lasagne[21] - Lightweight library to build and train neural networks in Theano
• Leaf[22] - "The Hacker's Machine Learning Engine"; supports OpenCL (official development suspended)
• LightNet[23] - MATLAB-based environment for deep learning
• MaTEx[24] - Distributed TensorFlow with MPI by PNNL
• Mocha[25] - Deep learning framework for Julia, inspired by Caffe
• neon[26] - Nervana's Python based Deep Learning framework
• Purine[27] - Bi-graph based deep learning framework
• Pylearn2[28] - Machine learning library mainly built on top of Theano
• scikit-neuralnetwork[29] - Multi-layer perceptrons as a wrapper for Pylearn2
• sklearn-theano[30] - Scikit-learn compatible tools using theano
• Tensor Builder[31] - Lightweight extensible library for easy creation of deep neural networks using functions from "any Tensor-based library" (requires TensorFlow) through an API based on the Builder Pattern
• TensorGraph[32] - Framework for building any models based on TensorFlow
• TensorFire[33] - Neural networks framework for the web browser, accelerated by WebGL
• TF Learn (Scikit Flow)[34] - Simplified interface for TensorFlow
• TF-Slim[35] - High level library to define complex models in TensorFlow
• TFLearn[36] - Deep learning library featuring a higher-level API for TensorFlow
• Theano-Lights[37] - Deep learning research framework based on Theano
• tiny-dnn[38] - Header only, dependency-free deep learning framework in C++11
• torchnet[39] - Torch framework providing a set of abstractions aiming at encouraging code re-use as well as encouraging modular programming
• Veles[40] - Distributed machine learning platform by Samsung

Maps Comparison of deep learning software/Resources

Related software

• Deep Visualization Toolbox[41] - Software tool for "probing" DNNs by feeding them image data and watching the reaction of every neuron, and for visualizing what a specific neuron "wants to see the most"
• LSTMVis[42] - A visual analysis tool for recurrent neural networks
• pastalog[43] - Simple, realtime visualization of neural network training performance

src: software.intel.com

References

src: datahub.packtpub.com

External links

• GitHub machine learning showcase
• Popular Deep Learning Tools - a review
• 50 Deep Learning Software Tools and Platforms
• Comparative study of Caffe, Neon, TensorFlow, Theano, and Torch
• Software links
• Deep Learning Libraries by Language
• DL4J vs. Torch vs. Theano vs. Caffe vs. TensorFlow
• Evaluation of Deep Learning Toolkits, an evaluation of Caffe, CNTK, TensorFlow, Theano, and Torch with ratings on different aspects
• YouTube: CS231n Winter 2016: Lecture 12: Deep Learning libraries - A comparison of Caffe, Torch, Theano and Tensorflow
• 10 Most Popular Deep Learning Libraries Started in 2015
• 13 frameworks for mastering machine learning
• Want an open-source deep learning framework? Take your pick
• What is the best deep learning library at the current stage for working on large data?
• Awesome Machine Learning - A large list of machine learning frameworks, libraries and software by language
• 15 Deep Learning Libraries - 15 libraries in various languages
• TensorFlow Meets Microsoft's CNTK - Comparison of TensorFlow and CNTK
• Deep Learning Frameworks - Short list of deep learning frameworks recommended by Nvidia
• Awesome TensorFlow - Libraries
• Popular Deep Learning Libraries

Source of article : Wikipedia