Code release for NeRF (Neural Radiance Fields)

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

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injective mapping via TLC (total lifted content) energy minimization (SIGGRAPH 2020)

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A cheatsheet of modern C++ language and library features.

Design pattern demo code

Qhull development for www.qhull.org -- Qhull 2020.2 (8.1-alpha1) at https://github.com/qhull/qhull/wiki

Code for the ICML 2020 Paper ''Maximum-and-Concatenation Networks''

this repository accompanies the book "Grokking Deep Learning"

library to read/write .npy and .npz files in C/C++

Preview 3D meshes in VSCode

Embree ray tracing kernels repository.

Finite Element Codebase for Triangle/Tetrahedral Meshes

🌍 C++11 ply 3d mesh format importer & exporter

Source Code Generation for Automatic Differentiation using Operator Overloading

Scientific Python Geometric Algorithms Library

Single file, header-only, no-dependencies C library for Poisson disk sampling in arbitrary dimensions.

A robust Laplace matrix for general (possibly nonmanifold) triangle meshes, and point clouds [Sharp & Crane SGP 2020]

Build high-quality Laplace matrices on meshes and point clouds in Python. Implements [Sharp & Crane SGP 2020].

Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

A minimal VTK file writer for triangle, quad, hex and tet meshes in 2D and 3D. Only C++ standard lib as dependencies.

A lightweight high performance tensor algebra framework for modern C++

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

Simple finite element assemblers

A simple 3d grid-based simulator for animating inviscid free surface liquids in irregular domains.

High-performance automatic differentiation of LLVM and MLIR.

An open access book on scientific visualization using python and matplotlib

A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.