IBM / terratorch-iterateLinks
A tool for benchmarking and hyper-parameter optimization using TerraTorch. Leverages MLFlow for experiment logging, optuna for hyperparameter optimization and ray for parallelization.
☆16Updated this week
Alternatives and similar repositories for terratorch-iterate
Users that are interested in terratorch-iterate are comparing it to the libraries listed below
Sorting:
- Repo for testing foundation models☆56Updated last year
- ☆117Updated 9 months ago
- ☆44Updated last year
- SegEval is a Python library that provides tools for evaluating semantic segmentation models☆12Updated 2 years ago
- Sensor Parameter Encoding for Multi-Spectral Earth Observation Data☆24Updated 6 months ago
- GEO-Bench: Toward Foundation Models for Earth Monitoring☆142Updated 3 weeks ago
- Towards a Unified Copernicus Foundation Model for Earth Vision☆74Updated last week
- This repository contains code to download data for the preprint "MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representati…☆76Updated 2 months ago
- Semantic segmentation from aerial imagery (baseline of the FLAIR #1 challenge)☆64Updated last week
- Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery. Foundation Model for Field Boundary Delineation.☆73Updated last week
- This repository contains code to reproduce the experiments in the preprint "MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial R…☆60Updated last month
- ☆72Updated last year
- The official repository for the paper "Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters"☆19Updated 3 months ago
- ☆20Updated 7 months ago
- Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities☆147Updated last month
- A time series foundation model for Earth Observation☆66Updated last year
- A tool for developing remote sensing datasets and models.☆40Updated this week
- Starter-pack for the AI4EO Food Security Challenge☆21Updated 2 years ago
- Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning☆100Updated 9 months ago
- Semantic segmentation from multi-source optical data (baseline for the FLAIR#2 challenge)☆80Updated last week
- Make your models invariant to changes in scale.☆150Updated last year
- ☆25Updated 2 years ago
- ☆160Updated 4 months ago
- Chesapeake RSC dataset introduced in "Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial image…☆50Updated 7 months ago
- Landsat-Bench: Datasets and Benchmarks for Landsat Foundation Models☆16Updated last month
- ☆57Updated last year
- Using StableDiffusion and ControlNet to generate synthetic aerial images☆92Updated 9 months ago
- Contains implementations of data-centric approaches for improving semantic segmentation on satellite imagery.☆42Updated 4 months ago
- Multi-label guided soft contrastive learning for efficient Earth observation pretraining☆21Updated last year
- ☆56Updated 2 years ago