Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Fdtd | 375 | 1 | 6 months ago | 16 | December 07, 2023 | 22 | mit | Python | ||
A 3D electromagnetic FDTD simulator written in Python with optional GPU support | ||||||||||
Von Grid | 349 | 3 years ago | 4 | mit | JavaScript | |||||
Hexagonal & square tile grid system with three.js | ||||||||||
Isometricgrids | 283 | 7 years ago | 4 | HTML | ||||||
Some experimental decorative and interactive isometric and 3D grids. | ||||||||||
Gridgallery | 232 | 9 years ago | 3 | HTML | ||||||
A responsive grid gallery based on the [Google Chromebook getting started](https://gweb-gettingstartedguide.appspot.com/) guide gallery. In this Blueprint we use Masonry for the grid and 3D transforms for navigating the items. | ||||||||||
Deep_marching_cubes | 228 | a year ago | 5 | Python | ||||||
Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018 | ||||||||||
Polarseg | 217 | 3 years ago | 14 | bsd-3-clause | Python | |||||
Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020) | ||||||||||
3dmmasstn | 194 | 6 years ago | 5 | apache-2.0 | Matlab | |||||
MatConvNet implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN) | ||||||||||
Bookpreview | 157 | 10 years ago | 4 | CSS | ||||||
A "look inside" book preview with BookBlock. A concept for book showcases or online book stores that shows a grid of books with the options to view the details and to look inside of the book, opening the BookBlock in fullscreen and allowing for a 3D page navigation. | ||||||||||
Versatile | 118 | 7 years ago | 11 | gpl-3.0 | C | |||||
A simple 3D model editor based on simple quads and a sprite set. | ||||||||||
Semantic_3d_mapping | 103 | 5 years ago | 6 | other | C++ | |||||
Semantic 3D Occupancy Mapping through Efficient High Order CRFs |