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A collection of papers related to data compression
[IGARSS 2025 Oral | NeurIPS NCW 2024] Official implementation for the paper "Neural Compression for Multispectral Satellite Images"
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
This is an open-source repository based on our paper, primarily applied in the field of remote sensing image compression.
[NeurIPS 2024] COSMIC: Compress Satellite Images Efficiently via Diffusion Compensation
Map-Assisted Remote-Sensing Image Compression at Extremely Low Bitrates
An object-oriented algebraic modeling language in Python for structured optimization problems.
These samples demonstrate how to use the DOcplex library to model and solve optimization problems.
Improve your resumes with Resume Matcher. Get insights, keyword suggestions and tune your resumes to job descriptions.
Paper list: deep learning based video compression
Course notes for "Machine Learning for Genomics" (ETH Zurich, CS MSc level course).
Implementation for "Change Event Dataset for Discovery from Spatio-temporal Remote Sensing Imagery"
Welcome to NeuCo-Bench, a benchmarking framework for evaluating compressed embeddings on downstream tasks.
TerraMind is the first any-to-any generative foundation model for Earth Observation, built by IBM and ESA.
Save multichannel data from xarray datasets as videos to save up massive amounts of space
Fast and differentiable MS-SSIM and SSIM for pytorch.
A collection of tools for neural compression enthusiasts.
resources as addition to the updated version of the SSL4EO-S12 dataset, cf. https://arxiv.org/abs/2503.00168
CompressAI-Vision helps you design, test and compare Video Compression for Machines pipelines. Compression methods can be either pulled from custom AI-based modules from CompressAI or traditional c…
A PyTorch library and evaluation platform for end-to-end compression research
Convert Machine Learning Code Between Frameworks
A PyTorch implementation of [VCT](https://github.com/google-research/google-research/tree/master/vct)
Curated list of data science interview questions and answers
Companion code to https://arxiv.org/abs/2403.17886
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
Supplementary information for the embed2scale challenge. This repo contains documentation, demos for loading and creating submissions, and more.