torchgeo
GeoML Library
Provides tools and pre-trained models for working with geospatial data in machine learning applications
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
3k stars
53 watching
370 forks
Language: Python
last commit: 2 months ago
Linked from 2 awesome lists
computer-visiondatasetsdeep-learningearth-observationgeospatialmodelspytorchremote-sensingsatellite-imagerytorchvisiontransforms
Related projects:
Repository | Description | Stars |
---|---|---|
| A PyTorch module providing tools and functions for audio signal processing | 2,561 |
| A native PyTorch library for training large language models using distributed parallelism and optimization techniques. | 2,765 |
| Provides interactive geospatial analysis and visualization tools using Google Earth Engine | 3,515 |
| A comprehensive library for processing spatiotemporal data with PyTorch | 281 |
| A collection of utility functions and tools for building deep learning models with PyTorch | 111 |
| This package provides an interface to segment geospatial data using the Segment Anything Model (SAM) | 3,099 |
| A deep learning framework for analyzing satellite imagery | 393 |
| A PyTorch library for easily authoring and experimenting with large language models | 4,479 |
| Trains PyTorch models using a genetic algorithm | 96 |
| A PyTorch model fitting library designed to simplify the process of training deep learning models. | 636 |
| A PyTorch implementation of a deep generative model that can be used to generate images from a dataset. | 1,466 |
| A comprehensive PyTorch-based framework for computer vision tasks | 2,249 |
| A package manager for geospatial analysis and visualization tools | 364 |
| A Python package that provides interactive mapping and geospatial analysis capabilities with minimal coding in a Jupyter environment. | 3,234 |
| An online textbook providing core geospatial functionality in Python, covering topics such as data handling, remote sensing, and machine learning. | 174 |