🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
- neural-network
- brain
- recurrent-neural-networks
- easy-to-use
47,133 repositories indexed
49–72 of 327 · Most stars
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
TranslatedMachine learning tutorials
Play with neural networks!
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A MNIST-like fashion product database. Benchmark :point_down:
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
The "Python Machine Learning (1st edition)" book code repository and info resource
🐍 Geometric Computer Vision Library for Spatial AI
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
Unsupervised text tokenizer for Neural Network-based text generation.
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
pix2code: Generating Code from a Graphical User Interface Screenshot
Low-code framework for building custom LLMs, neural networks, and other AI models
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.
A paper list of object detection using deep learning.
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.