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 9 years ago

Related projects:

RepositoryDescriptionStars
hshindo/merlin.jlA Julia-based framework for building and training neural networks144
ivaylo-popov/theano-lightsA deep learning framework built on top of Theano, providing a wide range of models and training techniques for research and development.267
ilkarman/deeplearningframeworksA project to compare and benchmark different deep learning frameworks across various languages and hardware configurations.1,654
guanghan/darknetAn implementation of a neural network framework for computer vision tasks, supporting both CPU and GPU computation.244
swift-ai/neuralnetA Swift implementation of a fully connected, feed-forward artificial neural network for deep learning and machine learning applications.212
jimmy-ren/vcnn_double-bladedAn implementation of convolutional neural networks in Matlab, providing GPU-enabled vectorized processing for image recognition and processing tasks.136
idsia/brainstormA neural network framework designed to make working with neural networks fast and flexible.1,303
google-research/visu3dAn abstraction layer between various deep learning frameworks and your program.149
antoniodeluca/dn2aA toolkit for building and training dynamic neural networks463
kuleshov/deep-learning-modelsImplementations of various deep learning algorithms in Python using Theano and Lasagne.24
yechengxi/lightnetA Matlab-based framework for building and training deep learning models271
hannes-brt/hebelA Python library for building and training neural networks using GPU acceleration1,169
pluskid/mocha.jlA deep learning framework for Julia inspired by Caffe, providing an efficient and modular way to train neural networks.1,288
magnet-dl/magnetAn API that simplifies the development of deep learning architectures by providing a high-level abstraction around PyTorch.360
mzaradzki/neuralnetsAn experiment with various deep learning libraries and frameworks on images and time series data162