Stars
Experimental Bmad Code transcribed in Python with Numba and Pytorch
hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations
Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)
Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021
Solver for polaritonic Hartree Fock calculations with electronic degrees of freedom on a discrete lattice (tight-binding). Related publication: https://pubs.acs.org/doi/abs/10.1021/acs.jctc.0c00469
Deep learning quantum Monte Carlo for electrons in real space
A deep learning package for many-body potential energy representation and molecular dynamics
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.
FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
Learning in infinite dimension with neural operators.
pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reusable, and portable manner.
DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization
OpenAeroStruct is a lightweight tool that performs aerostructural optimization using OpenMDAO.
MACH: MDO of Aircraft Configurations with High fidelity
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
Cinder is a community-developed, free and open source library for professional-quality creative coding in C++.
🌊 Numerically solving and backpropagating through the wave equation
Simulations of photonic quantum programmable gate arrays
🌱 Guided-mode expansion of photonic crystal slabs
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
A library for building an in-memory, Adaptive Learned indEX