Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
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A free video series by Andrej Karpathy covering neural networks from scratch — backpropagation, makemore, GPT, and more.
Generating retro pixel game characters with Generative Adversarial Networks. Dataset "TinyHero" included.
Animations and instructional videos about neural networks.
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.
Neural networks in JavaScript - continued community fork of Brain.
Fast, flexible and fun neural networks. This is the successor of PyBrain.
Theano based library for deep and recurrent neural networks.
Project that automatically maps relationship networks by parsing public data using LLMs and visualizes it as an interactive graph.
Blog for understanding Neural Networks!
Neural networks, regression and feature learning in Clojure.
Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.
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].
Lightweight library to build and train neural networks in Theano.
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch.
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.