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
1k stars
174 watching
361 forks
Language: Java
last commit: about 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. | 244 |
 swift-ai/neuralnet | A Swift implementation of a fully connected, feed-forward artificial neural network for deep learning and machine learning applications. | 212 |
 jimmy-ren/vcnn_double-bladed | An implementation of convolutional neural networks in Matlab, providing GPU-enabled vectorized processing for image recognition and processing 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. | 149 |
 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 | 271 |
 hannes-brt/hebel | A Python library for building and training neural networks using GPU acceleration | 1,169 |
 pluskid/mocha.jl | A deep learning framework for Julia inspired by Caffe, providing an efficient and modular way to train neural networks. | 1,288 |
 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 |