salvaRC

weasel

Weakly Supervised End-to-End Learning (NeurIPS 2021)

climart

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

dyffusion

[NeurIPS 2023] A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting

aibedo

DARPA AIE (AI-Assisted Climate Tipping Point): AIBEDO (A hybrid AI framework to capture the effects of cloud properties on global circulation and regional climate patterns)

composer

Train neural networks up to 7x faster

El-GNNino

Code associated with the NeurIPS 2020 Climate Change workshop proposal paper "Graph Neural Networks for Improved El Niño Forecasting"

Factor-Graph-Learning

Learn a Factor Graph, or Markov Random Field (MRF), from data/observations. I.e. do PGM parameter learning.

GCC2022-climate-machine-learning-workshop

Graphino

Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks".

numpy-neural-network

Modular neural network from scratch in numpy. (+ activation, loss functions etc.)

salvaRC/El-GNNino

Code associated with the NeurIPS 2020 Climate Change workshop proposal paper "Graph Neural Networks for Improved El Niño Forecasting"

salvaRC/Graphino

Code associated with the paper "The World as a Graph: Improving El Niño Forecasting with Graph Neural Networks".

salvaRC/Factor-Graph-Learning

Learn a Factor Graph, or Markov Random Field (MRF), from data/observations. I.e. do PGM parameter learning.

salvaRC/numpy-neural-network

Modular neural network from scratch in numpy. (+ activation, loss functions etc.)

salvaRC/aibedo

DARPA AIE (AI-Assisted Climate Tipping Point): AIBEDO (A hybrid AI framework to capture the effects of cloud properties on global circulation and regional climate patterns)

salvaRC/composer

Train neural networks up to 7x faster

salvaRC/GCC2022-climate-machine-learning-workshop

salvaRC/graphnet_pytorch

salvaRC/salvarc.github.io

salvaRC/target-propagation