| barrista - a Python interface to Berkeley Caffe.
|
| Berkeley Caffe - a framework for convolutional neural network algorithms
|
| BigDL - Distributed Deep learning Library for Apache Spark
|
| Caffe 2 - a Lightweight, Modular, and Scalable Deep Learning Framework
|
| Catalyst - High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing.
|
| Chainer - Flexible neural network (NN) framework. See, also the main website.
|
| 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.
|
| DeepLearn toolbox - Matlab/Octave toolbox for deep learning.
|
| deeplearning4j: Deep learning for Java |
| DIGITS: an interactive training system from NVIDIA |
| DJL - Amazon's deep Java library
|
| DSSTNE - Amazon DSSTNE (pronounced "Destiny") is an open source software library for training and deploying deep neural networks using GPUs.
|
| DyNET - Dynamic neural network library
|
| Gorgonia - deep learning package for GoLang.
|
| 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.
|
| 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.
|
| MXNET - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more.
|
| NEON - NErvana's pythON based Deep Learning Framework.
|
| Neural Network Libraries by Sony - Efficient and flexible C++ neural net libraries (dynamic graphs are supported)
|
| NeuralTalk2 - contains Python+numpy source code for learning Multimodal Recurrent Neural Networks that describe images with sentences.
|
| NNVM - Open Compiler for AI Frameworks.
|
| OpenSeq2Seq - Toolkit for efficient experimentation with various sequence-to-sequence models.
|
| probtorch - Probabilistic Torch is library for deep generative models that extends PyTorch.
|
| Pyro - Deep universal probabilistic programming with Python and PyTorch
|
| Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration.
|
| Pytorch Ignite - a high-level library to help with training neural networks in PyTorch.
|
| tensorflow - Open source software library for numerical computation using data flow graphs.
|
| Veles - Distributed platform for rapid Deep learning application development from Samsung.
|
