NeuralNetworks-V-Module
Neural network builder
A V module to create and train multi-layer neural networks with customizable backpropagation
A V module to use multi-layer neural networks. Includes backpropagation but you can train them the way you want. If you have any questions or suggestions I'd be happy to read them !
19 stars
3 watching
4 forks
Language: V
last commit: 5 months ago neural-networks
Related projects:
Repository | Description | Stars |
---|---|---|
p-christ/nn_builder | Builds neural networks with less boilerplate code by providing a standardized interface for different architectures | 166 |
cloud-cv/fabrik | An online platform to design and visualize neural networks collaboratively | 1,127 |
ramon-oliveira/aorun | A deep learning framework on top of PyTorch for building neural networks. | 61 |
huwcampbell/grenade | A library for building complex neural networks in Haskell with a focus on dependently typed specifications and composability | 1,449 |
mila-iqia/blocks | A framework for building and training neural networks using Theano | 1,157 |
stevenmiller888/mind | A neural network library for building and training neural networks in JavaScript | 1,513 |
bowenbaker/metaqnn | Automatically designs convolutional neural network architectures using reinforcement learning and Q-learning algorithms | 137 |
nikolaypavlov/mlpneuralnet | A fast neural network library for iOS and Mac OS X with vectorized operations and hardware acceleration. | 900 |
ahmedfgad/numpycnn | An implementation of a convolutional neural network (CNN) using NumPy for basic classification tasks. | 570 |
attractivechaos/kann | A lightweight C library for constructing and training small to medium neural networks with customizable architecture | 686 |
molcik/python-neuron | A Python library for implementing and training various neural network architectures | 40 |
microsoft/neuronblocks | A toolkit for building and deploying neural network models for natural language processing tasks. | 1,448 |
mfinzi/equivariant-mlp | Automates construction of equivariant neural networks by solving mathematical constraints | 257 |
zampino/exnn | An Elixir framework for building and training evolutive neural networks. | 99 |
ahmedfgad/numpyann | An implementation of artificial neural networks using NumPy | 98 |