Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

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

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

PyTorch deep learning projects made easy.

Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.

Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Entropy for Python

Linear Regression for data set with correlated or uncorrelated uncertainties in both axes.

A package for making and working with probabilistic predictions

AI to detect, attribute, and quantify solar radiation management (SRM) effects and risks under a range of geopolitical scenarios. Project funded by DARPA‐PA‐21‐04‐02.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Label de-noising for deep learning

Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)

A set of pre-processing codes, A deep convolutional neural net and post-processing codes for classifying turbulent climate patterns

Neural Network code for the paper Neural Network Code for the paper 'Viewing Forced Climate Patterns through an AI Lens' by Elizabeth A. Barnes, James W. Hurrell, Imme Ebert-Uphoff, Chuck Anderson,…