Lists (2)
Stars
Library for differentiable generation of synthetic skies
Automatic differentiation in C++ with GPU support and applications to PDEs solved by ODIL
ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equations.
Comprehensive Claude Code project configuration example with hooks, skills, agents, commands, and GitHub Actions workflows
This is a MESA model simulating a quasi-star -- a massive, star-like object powered by a black hole in its core that acts as a heavy seeding mechanism for SMBH formation.
Companion Tesseract for Pasteur Labs' "Physicist's Catch" post.
Template repository for Tesseract Hackathon 2025
Blueprint for the PNT+ Project
A project to digitalise results from physics into Lean.
An Explicit Algebraic Cycle for a Non-Quasi-Decomposable Hodge Class on the Fermat Hypersurface X₃₃⁴
a pseudo-2D stellar evolution code with rotation, modern microphysics, and starspots
A structure-preserving, helicity-conserving high-order ALE finite element method for compressible ideal MHD systems
TensorFlow's Visualization Toolkit
Production-grade client-side tracing, profiling, and analysis for complex software systems.
Lean 4 programming language and theorem prover
Using markdown, write simple but beautiful presentations with math, animations and media.
A project to illustrate the power of Jax for simulating astrochemical kinetics.
Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients. Published in Nature.
sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has …
Ray tracing for astrophysical (static) Radiative Transfer in Jax
Development of surrogate models to emulate Radiative Transfer in Astrophysical Environments.
Python libraries for Google Colaboratory
Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program