Official PyTorch implementation of "PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-temporal Satellite Imagery" (ECAI 2023).
Let your GNOME desktop speak to you. Reads your desktop notifications or selected text out-loud with human-like voice using Piper. Uses a local LLM to summarize selected text.
Latent Space uses a recurrent neural autoencoder that compresses audio streams, with embeddings specifically for music, to reduce audio latency.
Visualize high-dimensional data
Autoencoder.js
Latent Space uses a recurrent neural autoencoder that compresses audio streams, with embeddings specifically for music, to reduce audio latency. Built on Zipcall.
A machine learning-based system for detecting anomalies in encrypted network traffic. Supports real-time analysis, multiple detection algorithms, and insightful visualizations.
Bring your code to the conversations you care about with the GitHub and Slack integration
Add a description, image, and links to the autoencoder topic page so that developers can more easily learn about it.
To associate your repository with the autoencoder topic, visit your repo's landing page and select "manage topics."