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A collection of research papers on Diffusion Models for Weather Forecasting.
This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation"
TorchCFM: a Conditional Flow Matching library
Implementation of the Aurora model for Earth system forecasting
List the AI for Science papers accepted by top conferences
Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'
Official implementation of Learning Diffusion Priors from Observations by Expectation Maximization
As part of the info8010 - DEEP-LEARNING course taught by Gilles Louppe at the University of Liège, we built a series of transformers for generating music in MIDI format as a personal group project …
PIX is an image processing library in JAX, for JAX.
CoreNet: A library for training deep neural networks
INGInious is a secure and automated exercises assessment platform using your own tests, also providing a pluggable interface with your existing LMS.
The versatile ocean simulator, in pure Python, powered by JAX.
Hybrid ML + physics model of the Earth's atmosphere
Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
A differentiable PDE solving framework for machine learning
Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models"
Semantic alignment of astronomical data with natural language using multi-modal models. (Jax) Code associated with https://arxiv.org/abs/2403.08851 (COLM 2023).
[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
PDEBench: An Extensive Benchmark for Scientific Machine Learning
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
Artificial Intelligence Research for Science (AIRS)
10 Lectures on Inverse Problems and Imaging