Stars
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
Operate and manipulate physical quantities in Python
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
Symbolic differentiation. C++ code generation. JIT compilation. Global assembly. Non-linear optimization.
Public companion kit for ForgeCAD: examples, agent skills, docs links, and issue tracking. The hosted CAD app and core source live elsewhere.
A friendly library for multidisciplinary analysis and optimization on HPC
Vera: a programming language designed for LLMs to write
NFoil: a python JIT-accelerated subsonic airfoil solver based on mfoil/XFOIL
7,683 Fusion 360 Gallery CAD models as executable build123d Python scripts
Data, tools, and documentation of the Fusion 360 Gallery Dataset
Deep-Learning framework for Engineering AI. Built on transformer building blocks, it delivers the full engineering stack, allowing teams to build, train, and operate industrial simulation models ac…
Pinneaple is an open-source Physics AI toolkit for Physics-Informed Neural Networks (PINNs), scientific ML, geometry processing, solvers, and reproducible training pipelines.
pyGeo provides geometric design variables and constraints suitable for gradient-based optimization.
NASA's aircraft analysis, design, and optimization tool
FAST-OAD: An open source framework for rapid Overall Aircraft Design
Reference implementation of real-time AI Physics in an interactive visualization and analysis workflow, applied to CFD and aerodynamics.
A library for scientific machine learning and physics-informed learning
Supplementary material for "Interpolation-Based Immersed Finite Element Analysis", using FEniCS.
Multi-physics Optimization Research and Innovation System
A differentiable PDE solving framework for machine learning
Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations