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

A fast, clean, responsive Hugo theme.

GEO-Bench: Toward Foundation Models for Earth Monitoring

Fast and Accurate ML in 3 Lines of Code

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)

A Next.js résumé for developers

A revised and cleaned version of Yu and Chen et al.'s "DAG Structure Learning with Graph Neural Networks" algorithm.

Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023

🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.

A Munch is a Python dictionary that provides attribute-style access (a la JavaScript objects).

🌲 🌳 🌴 A catalogue of open access forest datasets

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

A latent text-to-image diffusion model

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Official TensorFlow code for the paper "Efficient-CapsNet: Capsule Network with Self-Attention Routing".

A list of datasets aiming to enable Artificial Intelligence applications that use Copernicus data.

A Collection of Variational Autoencoders (VAE) in PyTorch.

Explore 120 million taxi trips in real time with Dash and Vaex

TensorFlow 2 implementation of Transformer (Attention is all you need).

18.337 - Parallel Computing and Scientific Machine Learning

Graph Neural Networks in Julia

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

Detecting Burned Areas with Sentinel-2 remote sensing data using Deep Learning

Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

Project on Bayesian Deep Learning