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A free video series by Andrej Karpathy covering neural networks from scratch — backpropagation, makemore, GPT, and more.

Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].

A general-purpose network embedding framework: pair-wise representations optimization Network Edit.

Animations and instructional videos about neural networks.

Neural networks in JavaScript - continued community fork of Brain.

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

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.

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

Deep Neural Networks for Golang (powered by MXNet).

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.

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

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.

Model viewer for inspecting neural network architecture files from many machine learning frameworks.

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.

Generating retro pixel game characters with Generative Adversarial Networks. Dataset "TinyHero" included.

Platform for Neural Network Search (NAS) that allows you to generate efficient deep networks for your applications.

Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.

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