NumPyANN

Neural network library

An implementation of artificial neural networks using NumPy

Implementation of Artificial Neural Networks using NumPy

GitHub

98 stars
12 watching
52 forks
Language: Python
last commit: over 1 year ago
annartificial-neural-networksdeep-learningdensefully-connected-networkhidden-layersmachine-learningnumpypygadpythonpython3

Related projects:

Repository Description Stars
ahmedfgad/numpycnn A Python implementation of a Convolutional Neural Network from scratch using NumPy for building CNNs from scratch 577
ahmedfgad/neuralgenetic Trains artificial neural networks using the genetic algorithm 241
ahmedfgad/cnngenetic Trains CNNs using a genetic algorithm for classification problems where one class per sample is allowed. 22
modern-fortran/neural-fortran A parallel framework for building neural networks in Fortran 411
ahmedfgad/geneticalgorithmpython A Python library implementing a genetic algorithm for optimizing machine learning algorithms and neural networks. 1,905
molcik/python-neuron A Python library for implementing and training various neural network architectures 40
libfann/fann A C++ library for building and training artificial neural networks 1,601
codeplea/genann A minimal C library for training and using feedforward artificial neural networks 2,017
mikecmpbll/rann Provides objects and algorithms for designing, processing and training Artificial Neural Networks in Ruby. 3
ck090/ocaml-nn A monadic implementation of a fully-connected neural network in OCaml with customizable hyperparameters 5
neuralegion/crystal-fann A Crystal binding for the Fast Artificial Neural Network library (FANN) to provide a simple interface for creating and training neural networks. 85
nikolaypavlov/mlpneuralnet A fast neural network library for iOS and Mac OS X with vectorized operations and hardware acceleration. 900
sinkingsugar/nimtorch A Nim frontend for PyTorch, generating native ATen code for machine learning and artificial neural networks 464
attractivechaos/kann A lightweight C library for constructing and training small to medium neural networks with customizable architecture 689
irfansharif/cerebrum An implementation of Artificial Neural Networks in Ruby, allowing developers to experiment and train neural networks using the language. 36