jerome-lux

Interactive_Tools

Interactive Tools for Machine Learning, Deep Learning and Math

PhyCRNet

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

ConvolutionalNeuralOperator

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

physics_informed

DataScienceInteractivePython

Python interactive dashboards for learning data science

ViT-Adapter

[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

Vim

[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

mamba.py

A simple and efficient Mamba implementation in pure PyTorch and MLX.

mamba-minimal

Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

mamba

Mamba SSM architecture

marimo

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

dm_pix

PIX is an image processing library in JAX, for JAX.

PINNs

particle_based_viscoelastic_fluid

Implementation of Particle-based Viscoelastic Fluid Simulation

equinox

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

Long-time-Integration-PI-DeepONets

segment-anything-ui

Segment anything UI for annotations

segment-anything-gui

A matplotlib GUI to run the Segment Anything Model

pykan

Kolmogorov Arnold Networks

efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

SOLOv2_minimal

Minimal PyTorch implementation of SOLOv2.

penzai

A JAX research toolkit for building, editing, and visualizing neural networks.

typst

A new markup-based typesetting system that is powerful and easy to learn.

chebpy

A python package for spetral methods of PDEs based on Chebyshev series.

PI-DeepONet

Implementing a physics-informed DeepONet from scratch

cphy

Class materials for computational physics course

Heat-Equation-FFT-GPU

This is my GPU computing project for solving the time-dependent anisotropic heat equation with FFTs on the GPU.

Prospective-Configuration

This repository contains the code for the paper "Inferring Neural Activity Before Plasticity: A Foundation for Learning Beyond Backpropagation."

GSTools

GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

FFT_MA

Gaussian random fields by fast fourier transform using the moving average approach