neuralnetworks

Deep learning framework

A Java implementation of deep learning algorithms and neural networks with GPU acceleration

java deep learning algorithms and deep neural networks with gpu acceleration

GitHub

1k stars
174 watching
361 forks
Language: Java
last commit: almost 7 years ago

Related projects:

Repository Description Stars
hshindo/merlin.jl A Julia-based framework for building and training neural networks 144
ivaylo-popov/theano-lights A deep learning framework built on top of Theano, providing a wide range of models and training techniques for research and development. 267
ilkarman/deeplearningframeworks A project to compare and benchmark different deep learning frameworks across various languages and hardware configurations. 1,654
guanghan/darknet An implementation of a neural network framework for computer vision tasks, supporting both CPU and GPU computation. 243
swift-ai/neuralnet A Swift implementation of a fully connected, feed-forward artificial neural network for deep learning and machine learning applications. 211
jimmy-ren/vcnn_double-bladed A GPU-enabled vectorized implementation of CNNs for computer vision tasks 136
idsia/brainstorm A neural network framework designed to make working with neural networks fast and flexible. 1,303
google-research/visu3d An abstraction layer between various deep learning frameworks and your program. 147
antoniodeluca/dn2a A toolkit for building and training dynamic neural networks 463
kuleshov/deep-learning-models Implementations of various deep learning algorithms in Python using Theano and Lasagne. 24
yechengxi/lightnet A Matlab-based framework for building and training deep learning models 270
hannes-brt/hebel A deep learning library that provides GPU acceleration and various neural network models and training methods. 1,169
pluskid/mocha.jl A deep learning framework for Julia inspired by Caffe, providing an efficient and modular way to train neural networks. 1,287
magnet-dl/magnet An API that simplifies the development of deep learning architectures by providing a high-level abstraction around PyTorch. 360
mzaradzki/neuralnets An experiment with various deep learning libraries and frameworks on images and time series data 162