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Browser-based visual editor for designing neural networks and automatically generating PyTorch and TensorFlow code.

Neural networks in JavaScript - continued community fork of Brain.

The iOS and OS X neural network framework.

Fast, flexible and fun neural networks. This is the successor of PyBrain.

Theano based library for deep and recurrent neural networks.

Layer - Neural network inference from the command line, implemented in.

Blog for understanding Neural Networks!

Neural networks, regression and feature learning in Clojure.

FANN (Fast Artificial Neural Network) binding.

Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.

Torch CUDA Neural Network Implementation.

Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.

Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.

Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.

Deep learning in Rust, with shape checked tensors and neural networks.

FeatherCNN is a high performance inference engine for convolutional neural networks.

Deep Neural Networks for Golang (powered by MXNet).

Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].

An unsupervised machine learning extension library for NetworkX with a Scikit-Learn like API.

A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.

Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.

Lightweight library to build and train neural networks in Theano.

Neural network inference from the command line, implemented in CHICKEN Scheme.

A graph sampling extension library for NetworkX with a Scikit-Learn like API.