List the AI for Science papers accepted by top conferences

Repository for 'Interpretable embeddings from molecular simulations using gaussian mixture variational autoencoders'

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

LLM training in simple, raw C/CUDA

Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy

A differentiable PDE solving framework for machine learning

Diffusion-based flow prediction (DBFP) with uncertainty for airfoils

Semantic alignment of astronomical data with natural language using multi-modal models. (Jax) Code associated with https://arxiv.org/abs/2403.08851.

Grok open release

A simple library for scaling up JAX programs

[ICML 2024 Oral] 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

Stainless neural networks in JAX

Universal Tensor Operations in Einstein-Inspired Notation for Python.

🌍 A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)

An official implementation of Pangu-Weather