dnngraph

Deep network designer

A DSL and toolkit for designing and optimizing deep neural networks in Haskell

A DSL for deep neural networks, supporting Caffe and Torch

GitHub

702 stars
40 watching
59 forks
Language: Haskell
last commit: almost 11 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
joeddav/devolAn evolutionary algorithm for designing neural networks in Keras951
ajtulloch/haskell-mlImplementations of basic machine learning algorithms in Haskell57
huwcampbell/grenadeA library for building complex neural networks in Haskell with a focus on dependently typed specifications and composability1,451
jbarrow/lambdanetAn artificial neural network library for rapid prototyping and extension in Haskell.378
brunjlar/neuralA Haskell-based framework for flexible neural networks and similar parameterized models with automatic differentiation and modular training algorithms.124
hasktorch/hasktorchA Haskell library for building neural networks and working with tensors.1,083
dmlc/gnnlens2An interactive visualization tool for graph neural networks242
unagiootoro/ruby-dnnA Ruby-based deep learning library for building and training neural networks46
deepwisdom/autodlAutomated deep learning algorithm that performs feature engineering, model selection, and hyperparameter tuning without human intervention.1,140
namisan/mt-dnnA PyTorch package implementing multi-task deep neural networks for natural language understanding2,238
doonny/pipecnnA tool for accelerating convolutional neural networks on Field-Programmable Gate Arrays (FPGAs) using OpenCL-based hardware design1,264
dathoangnd/gonetA Go module implementing a multi-layer Neural Network for machine learning tasks82
awslabs/dgl-lifesciA Python package for applying deep learning on graphs to various life science applications.734
google-deepmind/jraphA lightweight library for working with graph neural networks in jax.1,380
mosdeo/lkydeepnnA header-only C++ library for training and deploying deep neural networks on embedded systems49