blocks

Neural network builder

A framework for building and training neural networks using Theano

A Theano framework for building and training neural networks

GitHub

1k stars
85 watching
351 forks
Language: Python
last commit: almost 6 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
elpapi42/deepbay A library that provides pre-configured, reusable neural network building blocks for easy integration into other projects. 4
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
idsia/brainstorm A neural network framework designed to make working with neural networks fast and flexible. 1,303
eliyaan/neuralnetworks-v-module A V module to create and train multi-layer neural networks with customizable backpropagation 26
p-christ/nn_builder Builds neural networks with less boilerplate code by providing a standardized interface for different architectures 166
ahmedfgad/numpycnn A Python implementation of a Convolutional Neural Network from scratch using NumPy for building CNNs from scratch 577
ahmedfgad/numpyann An implementation of artificial neural networks using NumPy 98
alan-turing-institute/deepsensor Provides an interface for building and evaluating neural process models for environmental prediction tasks using Python libraries. 96
bowenbaker/metaqnn Automatically designs convolutional neural network architectures using reinforcement learning and Q-learning algorithms 137
codeplea/genann A minimal C library for training and using feedforward artificial neural networks 2,017
jhkim89/pyramidnet A Torch implementation of a novel neural network architecture designed to improve the generalization ability of deep image classification models. 129
forresti/squeezenet Provides pre-trained models and training configurations for a deep neural network architecture optimized for image classification tasks 2,181
taolei87/rcnn An implementation of neural network components and optimization methods for text analysis, including rationales for neural predictions. 355
ramon-oliveira/aorun A deep learning framework on top of PyTorch for building neural networks. 61