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The OpenTF Manifesto expresses concern over HashiCorp's switch of the Terraform license from open-source to the Business Source License (BSL) and calls for the tool's return to a truly open-source …
A method to perform unsupervised cross-region adaptation of crop classifiers trained with satellite image time series.
The official repository for the EuroCrops dataset.
Open source remote sensing dataset with benchmarks
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.
LaTeX files for the Deep Learning book notation
Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"
Vim notebook cell bindings for JupyterLab
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
A Simple pytorch implementation of GradCAM and GradCAM++
A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains (IJCV submission)
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
[arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
Official implementation of Fixed-Point GAN - ICCV 2019
Earth observation processing framework for machine learning in Python
Versatile typeface for code, from code.
Bridging Earth Observation data and Machine Learning in Python
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
EuroSAT: Land Use and Land Cover Classification with Sentinel-2
Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase