Popular GitHub Repositories for Fully Convolutional

Graph Neural Network Library for PyTorch

Netflix-level subtitle cutting, translation, alignment, and even dubbing - one-click fully automated AI video subtitle team | Netflix级字幕切割、翻译、对齐、甚至加上配音，一键全自动视频搬运AI字幕组

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

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Techniques for deep learning with satellite & aerial imagery

Best Practices, code samples, and documentation for Computer Vision.

Learning Convolutional Neural Networks with Interactive Visualization.

Pytorch implementation of convolutional neural network visualization techniques

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

VIP cheatsheets for Stanford's CS 230 Deep Learning

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

A RWKV management and startup tool, full automation, only 8MB. And provides an interface compatible with the OpenAI API. RWKV is a large language model that is fully open source and available for commercial use.

Open-source Next.js template for building apps that are fully generated by AI. By E2B.

A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API.

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

A simple, fully convolutional model for real-time instance segmentation.

An async, fully autonomous coding agent.