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University of Liège
- Liège, Belgium
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17:25
- 1h ahead - https://isach.be
- https://orcid.org/0009-0006-4899-2207
- @SachaLewin
Highlights
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Lists (14)
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⛅ Climate Simulation
Repositories related to ML-based climate simulation, forecasting, or inference.🔧 Coding tools
📚 Courses
Courses I follow, followed, or wish (someday...) to follow.🚀 CUDA
🧨 Diffusion Models
✏️ Editor
🛰️ Geospatial
〰Implicit Neural Representations
🔪 Jax
Jax-related repositories.🚜 NeRF
Repositories related to neural radiance fields (or gaussian splatting).🧠 Neural Operators
🌀 Particle Simulation
🖼️ PDEs
Neural PDE stuff not fitting in my other lists🐍 Python
Stars
Switch between single-line and multiline forms of code
Plotting pytorch tensors made easy!
An extremely fast Python package and project manager, written in Rust.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.
Denoising diffusion operators in Flax
Code to recreate results from "Unpaired Downscaling of Fluid Flows with Diffusion Bridges", Bischoff & Deck (2023). R&D project that shows how diffusion bridges can be applied to fluid simulations.
Educational implementation of the Discrete Flow Matching paper
A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.
A 15TB Collection of Physics Simulation Datasets
This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation"
👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration.
Automatically exported from code.google.com/p/prettytable
[Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled Training; Rollout Metrics)
Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".
A large compression model for weather and climate data, which compresses a 400+ TB ERA5 dataset into a new 0.8 TB CRA5 dataset.
Implementation of papers in 100 lines of code.
ICLR'24: Symmetric basis convolutions for learning lagrangian fluid mechanics
ClipMorph: give life to your clips using state-of-the-art AI!
Repo to the paper "Message Passing Neural PDE Solvers"
High-performance multi-material continuum physics engine in Taichi
Python implementation of the ASFLIP advection method