torchsat
Satellite imaging analyzer
A deep learning framework for analyzing satellite imagery
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
393 stars
20 watching
49 forks
Language: Python
last commit: over 4 years ago
Linked from 1 awesome list
classificationdata-augmentationdeep-learningpytorchremote-sensingsatellitesatellite-imagerysemantic-segmentationtorchvision
Related projects:
Repository | Description | Stars |
---|---|---|
| A framework for processing SAR satellite data from various sources | 514 |
| A deep learning framework for 3D point cloud analysis, specifically for change detection and segmentation tasks. | 31 |
| Analyze satellite imagery to investigate environmental and humanitarian challenges | 50 |
| A PyTorch implementation of a deep generative model that can be used to generate images from a dataset. | 1,466 |
| A comprehensive collection of deep learning examples using PyTorch, covering various applications and models. | 537 |
| Provides a CUDA backend for the PyTorch deep learning framework | 337 |
| Automatically annotates satellite images with OpenStreetMap data | 461 |
| Provides tools to access and process satellite data from various sources | 27 |
| An analyzer tool for neural networks built on PyTorch | 1,468 |
| Develops semantic segmentation of satellite images using deep learning techniques | 10 |
| Automates satellite image extraction and storage from public constellations at scale. | 76 |
| An implementation of Segmentation Network architecture with deconvolutional network in PyTorch for image segmentation tasks. | 6 |
| A collection of utility functions and tools for building deep learning models with PyTorch | 111 |
| This project uses deep learning to analyze chest radiographs and diagnose COVID-19. | 50 |
| A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |