Stars
Master programming by recreating your favorite technologies from scratch.
VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.
Fabrication-Aware Strip-Decomposable Quadrilateral Meshes
Learning with 3D rotations, a hitchhiker’s guide to SO(3) - ICML 2024
This is the LaTeX setup I used for my Princeton PhD dissertation. Accepted by the Graduate School in 2024
Torch layer for NURBS evaluation for a given control points and parametrization
Python library for converting Python calculations into rendered latex.
A JAX research toolkit for building, editing, and visualizing neural networks.
Efficient forward- and reverse-mode sparse Jacobians using Jax
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
🦀 Small exercises to get you used to reading and writing Rust code!
Example scripts for the NURBS-Python (geomdl) package
AI driven development in your terminal. Designed for large, real-world tasks.
Welcome to the Physics-based Deep Learning Book (v0.2)
A Github Action for linting C/C++ code integrating clang-tidy and clang-format to collect feedback provided in the form of file-annotations, thread-comments, workflow step-summary, and Pull Request…
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Graph Neural Network library made for Apple Silicon
Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python ⚡
Computational Inverse Design of Surface-based Inflatables
A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
A Data Streaming Library for Efficient Neural Network Training
JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.