python-neuron
Neural Network Library
A Python library for implementing and training various neural network architectures
Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons
40 stars
8 watching
6 forks
Language: Python
last commit: about 2 years agoLinked from 1 awesome list
annartificial-intelligenceartificial-neural-networkslnumlpmlp-elmmulti-layer-perceptronneural-networkneural-networksneuronspredictionpythonqnurbftime-series
josephmisiti/awesome-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 nikolaypavlov/mlpneuralnet | A fast neural network library for iOS and Mac OS X with vectorized operations and hardware acceleration. | 900 |
 jczic/micromlp | A lightweight implementation of a multilayer perceptron neural network for use in embedded systems and microcontrollers | 183 |
 priba/nmp_qc | An implementation of neural networks on graph structures for learning molecular properties | 340 |
 zueve/neurolab | A Python library for building and training neural networks. | 163 |
 100/cranium | A lightweight, portable C implementation of a feedforward artificial neural network library | 593 |
 mrdimosthenis/synapses | A collection of libraries for building and training neural networks in various programming languages | 70 |
 mikecmpbll/rann | Provides objects and algorithms for designing, processing and training Artificial Neural Networks in Ruby. | 3 |
 okerew/okrolearn | A Python machine learning library providing efficient array operations and neural network functionality | 3 |
 nilearn/nilearn | A comprehensive toolkit for analyzing brain imaging data using machine learning and statistical techniques. | 1,214 |
 microsoft/neuronblocks | A toolkit for building and deploying neural network models for natural language processing tasks. | 1,448 |
 codeplea/genann | A minimal C library for training and using feedforward artificial neural networks | 2,017 |
 modern-fortran/neural-fortran | A parallel framework for building neural networks in Fortran | 411 |
 brunjlar/neural | A Haskell-based framework for flexible neural networks and similar parameterized models with automatic differentiation and modular training algorithms. | 124 |
 nengo/nengo | A Python library for building and simulating large-scale neural models | 834 |
 ahmedfgad/numpyann | An implementation of artificial neural networks using NumPy | 98 |