Popular GitHub Repositories for Convolutional Autoencoder

Graph Neural Network Library for PyTorch

? 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

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

Techniques for deep learning with satellite & aerial imagery

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Learning Convolutional Neural Networks with Interactive Visualization.

Pytorch implementation of convolutional neural network visualization techniques

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

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

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.

links to conference publications in graph-based deep learning

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

A collection of important graph embedding, classification and representation learning papers with implementations.

? Super-scale your images and run experiments with Residual Dense and Adversarial Networks.