barrista - a Python interface to Berkeley Caffe.
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Berkeley Caffe - a framework for convolutional neural network algorithms
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BigDL - Distributed Deep learning Library for Apache Spark
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Caffe 2 - a Lightweight, Modular, and Scalable Deep Learning Framework
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Catalyst - High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing.
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Chainer - Flexible neural network (NN) framework. See, also the main website.
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cuda-convnet - a fast C++/CUDA implementation of convolutional (or more generally, feed-forward) neural networks. It can model arbitrary layer connectivity and network depth.
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DeepLearn toolbox - Matlab/Octave toolbox for deep learning.
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deeplearning4j: Deep learning for Java |
DIGITS: an interactive training system from NVIDIA |
DJL - Amazon's deep Java library
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DSSTNE - Amazon DSSTNE (pronounced "Destiny") is an open source software library for training and deploying deep neural networks using GPUs.
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DyNET - Dynamic neural network library
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Gorgonia - deep learning package for GoLang.
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H2O - Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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Keras Theano-based Deep Learning library |
Lasagne a lightweight library to build and train neural networks in Theano. |
Microsoft CNTK - (Computational Network Toolkit by Microsoft Research) a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph. It implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers.
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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.
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NEON - NErvana's pythON based Deep Learning Framework.
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Neural Network Libraries by Sony - Efficient and flexible C++ neural net libraries (dynamic graphs are supported)
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NeuralTalk2 - contains Python+numpy source code for learning Multimodal Recurrent Neural Networks that describe images with sentences.
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NNVM - Open Compiler for AI Frameworks.
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OpenSeq2Seq - Toolkit for efficient experimentation with various sequence-to-sequence models.
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probtorch - Probabilistic Torch is library for deep generative models that extends PyTorch.
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Pyro - Deep universal probabilistic programming with Python and PyTorch
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Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
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Pytorch Ignite - a high-level library to help with training neural networks in PyTorch.
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tensorflow - Open source software library for numerical computation using data flow graphs.
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Veles - Distributed platform for rapid Deep learning application development from Samsung.
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