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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

github.com

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.

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

dfdx

github.com

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).

Image-to-Image Translation with Conditional Adversarial Networks

github.com

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

Karate Club

github.com

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.

Lasagne

github.com

Lightweight library to build and train neural networks in Theano.

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

Little Ball of Fur

github.com

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

LKYDeepNN

github.com

A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.

Collection of infrastructure and tools for research in neural network interpretability.

Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch.

Ludwig

github.com

A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.

Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.

It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.

N2D2

github.com

CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.

Ncnn is a high-performance neural network inference framework optimized for the mobile platform.

Netron

netron.app

Visualizer for neural network, deep learning and machine learning models.