Elegant & Performant Scientific Machine Learning in Julia

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

My Emacs configuration

A toy repo illustrating a minimal installable Python package

We propose a density-based estimator for weighted geodesic distances suitable for data lying on a manifold of lower dimension than ambient space and sampled from a possibly nonuniform distribution

Global machine learning glacier mass balance model, capable of assimilating all sources of glaciological and remote sensing data

A Julia package for regression in the sphere based on Universal Differential Equations

A Review of Sensitivity Methods for Differential Equations

Quantitative Analysis of Paleomagnetic Sampling Strategies

A model framework for the interpretation of mineral age spectra in stratigraphic context

This package implements the algorithms introduced in Smucler, Sapienza, and Rotnitzky (2020) to compute optimal adjustment sets in causal graphical models.

Python bindings to glmnet base source

A beautiful, simple, clean, and responsive Jekyll theme for academics

ALpine Parameterized Glacier Model (ALPGM v1.2). Open-source regional glacier evolution model based on deep learning and parametrizations.

Multi-user server for Jupyter notebooks

✨ Recognize all contributors, not just the ones who push code ✨

A toy scientific project

Core structures and tools for ODINN.jl

Tutorial to learn how to train different machine learning methods to model glacier mass balance.

Differentiable modelling on (multi)-GPUs workshop at JuliaCon23

CryoCloud JupyterBook

ICESat-2 Hackweek 2023 tutorials and event website

Open Global Glacier Model

Global glacier model using Universal Differential Equations for climate-glacier interactions