Using Gradient Boosting Regression to Predict NBA Score Totals

Consistent Koopman Autoencoders

A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. Deep Learning models for wildfire modeling, e.g. danger forecasting, burned area prediction, etc

Repository for tutorial on Neural ODEs prepared for the UCL AI Society

A Python package to learn the Koopman operator.

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

Python package for 3D geometry CAD/BIM/CAM

Massive-Parallel Trajectory Calculations (MPTRAC) is a Lagrangian particle dispersion model for the analysis of atmospheric transport processes in the free troposphere and stratosphere.

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Earth Model Column Collabratory

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A synthetic, isotropic turbulence generator for constant density flows that enforces the discrete divergence-free condition.

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

(CVPR 2020) Guided-VAE: Guided Variational Autoencoder for Disentanglement Learning

This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), which was accepted at AAAI-18.

Experiments for understanding disentanglement in VAE latent representations

Matlab code for the spectral analysis of homogenous isotropic turbulence

Script (with example) to compute the kinetic energy spectrum of periodic turbulent flows.

Toolbox for generating sptially uniform sampling patterns and decompositions of a unit sphere

Compute N equidistant points on the 2-dimensional sphere.

PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting

An Pytorch Implementation of Variational AutoEncoder for 3D MRI Brain Image

[NeurIPS 2024] CV-VAE: A Compatible Video VAE for Latent Generative Video Models

A 3D auto-encoder project based on ShapeNet dataset

Collection of scripts for installing GPU enabled AI/ML Python environments for NCAR HPC systems.

Welcome to the Physics-based Deep Learning Book (v0.2)

Differentiable, Hardware Accelerated, Molecular Dynamics