Popular GitHub Repositories for Acoustic Sensing

Techniques for deep learning with satellite & aerial imagery

?? List of satellite image training datasets with annotations for computer vision and deep learning

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

An open source library and framework for deep learning on satellite and aerial imagery.

A curated list of datasets and code repositories focused on remote sensing change detection.

[ICLR 2025] SOTA discrete acoustic codec models with 40/75 tokens per second for audio language modeling

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

Semantic Segmentation for Remote Sensing

A curated list of resources focused on Machine Learning in Geospatial Data Science.

INTERSPEECH 2023-2024 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023-24 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!

This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)

Rotational region detection based on Faster-RCNN.

[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection

[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model

This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance segmentation tasks. These datasets are ideal for applications in computer vision, machine learning, remote sensing, and maritime analysis.

A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP