Tensors and Dynamic neural networks in Python with strong GPU acceleration

Visualizer for neural network, deep learning and machine learning models

Convolutional Neural Networks

Latex code for making neural networks diagrams

GUI for a Vocal Remover that uses Deep Neural Networks.

Graph Neural Network Library for PyTorch

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

Neural Networks: Zero to Hero

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

Code samples for my book "Neural Networks and Deep Learning"

Must-read papers on graph neural networks (GNN)

A neural network that transforms a design mock-up into a static website.

Face recognition with deep neural networks.

🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js

Play with neural networks!

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

Unsupervised text tokenizer for Neural Network-based text generation.

Low-code framework for building custom LLMs, neural networks, and other AI models

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

TensorFlow-based neural network library

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

Learning Convolutional Neural Networks with Interactive Visualization.

Build your neural network easy and fast, 莫烦Python中文教学

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Pytorch implementation of convolutional neural network visualization techniques

Image restoration with neural networks but without learning.

Simple feed-forward neural network in JavaScript

Flax is a neural network library for JAX that is designed for flexibility.

CoreNet: A library for training deep neural networks