18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

A game theoretic approach to explain the output of any machine learning model.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Fast and Easy Infinite Neural Networks in Python

Repository containing notebooks of my posts on Medium

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

Computational Fluid Dynamics in JAX

State Space Models library in JAX

Context geo-tiles in Python

Statistical Rethinking (2nd ed.) with NumPyro

Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

CLU lets you write beautiful training loops in JAX.

Python (3.8+) version of CLIMADA

Geostatistical variogram estimation expansion in the scipy style

JAX-Toolbox

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

Structural Time Series in JAX

Disk-to-disk chunk transformation for chunked arrays.

MeteoNet's toolbox and documentation

A Pytorch Implementation of Attentive Neural Process

post-processing experiments with neural networks

A library for dimensionality reduction on spatial-temporal PDE

PyTorch implementation of the paper "Positional Encoder Graph Neural Networks for Geographic Data"

Global Precipitation Measurement Mission (GPM) python package to download and analyze data with xarray

Building a Zarr data cube using serverless cloud compute

Explore the pathway toward scaled-up scientific analysis with Earthdata in the cloud. These activities focus on the community with limited knowledge of the AWS cloud, which is still the majority.