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Leibniz Universität Hannover
- https://ymahlau.github.io/
- in/yannik-mahlau
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ARTEMIS (Adaptive mesh Refinement Time-domain ElectrodynaMIcs Solver) couples the Maxwell's equations implementation in WarpX with classical equations that describe quantum material behavior (such …
Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python ⚡
A Python package for reading variably structured text files at scale
[NeurIPS 2025] Official repository for "Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling"
Efficient Differentiable n-d PDE solvers in JAX.
✨🔬 A flexible diffraction simulator for exploring and visualizing physical optics.
Minimal JAX implementation of k-nearest neighbors using a k-d tree.
The code for the paper "verse Design of 3D Nanophotonic Devices with Structural Integrity Using Auxiliary Thermal Solvers".
Official implementation of "Explainable Reinforcement Learning via Dynamic Mixture Policies"
Interpolation and function approximation with JAX
👥 轻松创建研究组或组织网站 Easily create a stunning Research Group, Team, or Business Website with no-code
Learning in infinite dimension with neural operators.
Provide Python access to the NVML library for GPU diagnostics
Synthetic Metropolis Homography Dataset for Multiple Homography Fitting
HOPE-F Dataset for Multiple Fundamental Matrix Fitting
A list of paper and resources regarding Neural Cellular Automata
Code for the ICLR 2025 Paper "QPM: Discrete Optimization for Globally Interpretable Image Classification"
Differentiable Finite Element Method with JAX
Calculation of the Finite Difference Time Domain method in parallel on a GPU
Code for the AAAI 2024 Paper "Q-SENN: Quantized Self-Explaining Neural Networks"
Visualize, create, and operate on pytrees in the most intuitive way possible.
1 million FPS multi-agent driving simulator