neupy

Neural network prototype library

A Python library for prototyping and building neural networks using TensorFlow as a backend

NeuPy is a Tensorflow based python library for prototyping and building neural networks

GitHub

741 stars
33 watching
160 forks
Language: Python
last commit: 5 days ago
Linked from 1 awesome list

artificial-neural-networksboltzmann-machinedeep-learningdeep-neural-networksdeeplearninghopfieldlvqneupyneural-networkpnnrbmsofmsomtensorflow

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
google-research/tf-slim A lightweight library for defining and training neural networks in TensorFlow. 372
molcik/python-neuron A Python library for implementing and training various neural network architectures 40
taehoonlee/tensornets A collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows. 1,004
neuraxio/neuraxle-tensorflow Provides utility functions and abstractions for building machine learning models using TensorFlow 4
priba/nmp_qc An implementation of neural networks on graph structures for learning molecular properties 339
zueve/neurolab A Python library for building and training neural networks. 163
netflix/vectorflow A lightweight neural network library optimized for sparse data and single machine environments. 1,292
tensorflow/gnn Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques. 1,369
sandeep42/anuvada This is an open source PyTorch library providing tools and models to explain the predictions of deep neural networks for natural language processing tasks. 19
nikolaypavlov/mlpneuralnet A fast neural network library for iOS and Mac OS X with vectorized operations and hardware acceleration. 900
elpapi42/deepbay A library that provides pre-configured, reusable neural network building blocks for easy integration into other projects. 4
tensorflow/mesh A library that enables distributed deep learning by partitioning tensors across processors in a mesh topology. 1,590
neroloh/darts-tensorflow This implementation provides a Tensorflow-based framework for searching different architectures in deep neural networks using 2nd-order approximations. 73
tobiascz/mnist_pytorch_python_and_capi An example project demonstrating how to train and deploy a neural network in Python and C++ using PyTorch 1.0 96
franck-dernoncourt/neuroner Named-entity recognition using neural networks. 1,698