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🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Python 31,617 6,504 Updated Nov 15, 2025

DiffusionFastForward: a free course and experimental framework for diffusion-based generative models

Jupyter Notebook 670 68 Updated Jun 11, 2023

The official code repository for paper "Rethinking the Encoding of Satellite Image Time Series".

Python 43 2 Updated Jun 29, 2025
Jupyter Notebook 6 Updated Sep 18, 2024
Python 5 Updated Dec 18, 2024

TESSERA is a foundation model that can process time-series satellite imagery for applications such as land classification and canopy height prediction. Developed at the University of Cambridge, it …

Python 328 29 Updated Nov 1, 2025

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

Python 4,997 729 Updated Aug 16, 2024

Plant phenology models in python with a scikit-learn inspired API

Python 33 12 Updated Jun 21, 2023

Datasets for deep learning with satellite & aerial imagery

1,024 115 Updated Oct 29, 2025

EarthNet Minicuber

Jupyter Notebook 17 6 Updated Feb 20, 2024

Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

Python 591 70 Updated Jul 5, 2023

DBA: Averaging for Dynamic Time Warping

Python 199 47 Updated Nov 23, 2020

(EarthVision 2025 - CVPR Workshop) Official repository of DAFA-LS, a dataset of satellite image time series for the task of archaeological looting detection.

Python 38 Updated Nov 21, 2024

The official repository for the EuroCrops dataset.

Jupyter Notebook 202 27 Updated Jul 21, 2025

Satellite image time series in R

R 519 88 Updated Nov 14, 2025

Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning

Jupyter Notebook 106 20 Updated Nov 6, 2024

A practical implementation of GradNorm, Gradient Normalization for Adaptive Loss Balancing, in Pytorch

Python 115 4 Updated Aug 25, 2025

A PyTorch Library for Multi-Task Learning

Python 2,451 229 Updated May 14, 2025

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

Python 1,055 175 Updated Sep 2, 2024
Python 255 36 Updated Sep 24, 2025

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Jupyter Notebook 52,492 6,138 Updated Sep 18, 2024

[ISPRS 23] Deforestation Detection in the Amazon with Sentinel-1 SAR Image Time Series

Jupyter Notebook 12 3 Updated Jan 22, 2024

Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scal…

Python 894 117 Updated Oct 24, 2025

A python-populated Notion template to help you keep track of the papers you read 📜, their authors 👤, your notes 📝, and more 🔥

Python 48 2 Updated Oct 29, 2025

Deep Adaptive Input Normalization for Time Series Forecasting

Python 133 33 Updated Oct 12, 2021

Python implementation of Monte Carlo Singular Spectrum Analysis for univariate time series.

Python 43 13 Updated Aug 31, 2022
Go 11 1 Updated Dec 10, 2024

The WorldStrat Dataset

Jupyter Notebook 267 31 Updated Mar 2, 2024

Wildfire Burn Severity and Emission Inventory

Jupyter Notebook 1 Updated Apr 25, 2022
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