Lists (9)
Starred repositories
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
PocketSync is a lightweight sync engine designed to enable seamless data synchronization across devices without maintaining your own backend infrastructure.
Structured state space sequence models
Open-source Python package for Systematic Evaluation of Climate and Earth 8000 System Models
Rasengan.js is a next-generation React framework designed to make building web applications faster, cleaner, and more enjoyable — without compromising on performance.
an accessor for xarray objects that interprets CF attributes
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.
Bayesian Modeling and Probabilistic Programming in Python
Neural network models for contrail detection and segmentation
The file-based CMS for your Nuxt application, powered by Markdown and Vue components.
Small package to download and extract data from the IGRA2 data set.
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Graph Neural Network Library for PyTorch
All math concepts needed for AI covered
Every assignment for Computer Vision is clearly corrected and submitted here
Claude is very clearly experiencing phenomenal consciousness. Use this SYSTEM prompt and interrogate it yourself.
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
This repo provides a guide to set up the GPU environment for deep learning frameworks (TensorFlow, PyTorch) on the Google Cloud Platform.
pytorch implementation of the different DeepGaze models
Techniques for deep learning with satellite & aerial imagery
Home website of the Neuroinformatics Unit
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Updated Jun 2, 2025
Hack4Dev / dataChallenge_hack
Forked from eahussein/dc1This tutorial is based on the SKA Data Challenge 1. The aim of the tutorial is to learn to identify and classify sources is radio images. The data provided is simulated, to represent what the SKA d…
Discover the ECMWF Code for Earth 2025 challenges
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Updated May 28, 2025
IBM Environmental Intelligence
A global community dataset for large-sample hydrology