dn2a
Neural network toolkit
A toolkit for building and training dynamic neural networks
Dynamic Neural Networks Architect
463 stars
26 watching
16 forks
Language: TypeScript
last commit: about 1 year ago
Linked from 3 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
idsia/brainstorm | A neural network framework designed to make working with neural networks fast and flexible. | 1,303 |
taolei87/rcnn | An implementation of neural network components and optimization methods for text analysis, including rationales for neural predictions. | 355 |
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 |
ivan-vasilev/neuralnetworks | A Java implementation of deep learning algorithms and neural networks with GPU acceleration | 1,232 |
alejandro-isaza/braincore | An iOS and OS X neural network framework using Metal and Swift for building and executing neural networks | 380 |
alpmestan/hnn | A Haskell library providing a basic framework for building neural networks. | 112 |
marcoancona/deepexplain | A framework for understanding how deep neural networks process input data to produce output | 734 |
jimmy-ren/vcnn_double-bladed | A GPU-enabled vectorized implementation of CNNs for computer vision tasks | 136 |
cea-list/n2d2 | A CAD framework for designing and simulating Deep Neural Networks on embedded platforms | 147 |
zampino/exnn | An Elixir framework for building and training evolutive neural networks. | 99 |
hshindo/merlin.jl | A Julia-based framework for building and training neural networks | 144 |
brunjlar/neural | A Haskell-based framework for flexible neural networks and similar parameterized models with automatic differentiation and modular training algorithms. | 123 |
modern-fortran/neural-fortran | A parallel framework for building neural networks in Fortran | 406 |
hagaygarty/mdcnn | A 3D convolutional neural network framework supporting volumetric inputs and various features like dropout and batch normalization. | 52 |