colah.github.io
Blog for understanding Neural Networks!
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github.com
Neural networks, regression and feature learning in Clojure.
github.com
FANN (Fast Artificial Neural Network) binding.
cs231n.github.io
Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.
github.com
Torch CUDA Neural Network Implementation.
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.
github.com
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
github.com
Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
github.com
Deep learning in Rust, with shape checked tensors and neural networks.
github.com
FeatherCNN is a high performance inference engine for convolutional neural networks.
github.com
Deep Neural Networks for Golang (powered by MXNet).
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
victorzhou.com
A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.
github.com
Lightweight library to build and train neural networks in Theano.
github.com
Neural network inference from the command line, implemented in CHICKEN Scheme.
github.com
A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
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Collection of infrastructure and tools for research in neural network interpretability.
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Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch.
github.com
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
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Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
github.com
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.
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CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
github.com
Ncnn is a high-performance neural network inference framework optimized for the mobile platform.
netron.app
Visualizer for neural network, deep learning and machine learning models.