Popular GitHub Repositories for Climate Dt

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

:earth_africa: A curated list of APIs, open data and ML/AI projects on climate change

[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection

A comprehesive survey about foundation models for weather and cliamte data understanding.

DeepSphere: a graph-based spherical CNN (PyTorch)

Ssebowa is an open-source generative AI platform offering free access to powerful AI models for everyone. Use 100% of revenue got from ads and apis to plant trees and give meals to children in need. Think of us as the ChatGPT4 that serves humanity!

The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.

Code and pre-trained model for the algorithm generating visualisations of 3 climate change related events: floods, wildfires and smog.

? ? Multidimensional synthetic data generation with Copula and fPCA models in Python

A benchmark dataset for Machine Learning emulation of atmospheric radiative transfer in weather and climate models (NeurIPS 2021 Datasets and Benchmarks Track)

A mobile application enabling bank customers to be more climate conscious while strengthening their loyalty to the bank.

[NeurIPS 24] Probablistic Emulation of a Global Climate Model with Spherical DYffusion

Reconstruction of Cloud Vertical Structure with a Generative Adversarial Network

Official repo for 'Generating Physically-Consistent Satellite Imagery for Climate Visualizations'

This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement.

AI can help Visualizing the Impacts of Climate Change. This is an open forum to share our work

FAQ Generator for Classroom Climate Change Education using OpenAI

Predicting Fuel Load from earth observation data using Machine Learning

Experiments for the Climate Change AI summer school 2023 tutorial on "AI for Monitoring, Reporting, and Verification"