| skanti/Scan2CAD |
203 |
|
0 |
0 |
over 5 years ago |
0 |
|
5 |
other |
C++ |
| [CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans |
| lkhphuc/pytorch-3d-point-cloud-generation |
145 |
|
0 |
0 |
over 7 years ago |
0 |
|
2 |
|
Python |
| Pytorch code to construct a 3D point cloud model from single RGB image. |
| CEA-LIST/N2D2 |
140 |
|
0 |
0 |
over 2 years ago |
48 |
April 14, 2022 |
5 |
other |
C |
| N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building. |
| AiAiHealthcare/ProjectAiAi |
86 |
|
0 |
0 |
over 5 years ago |
0 |
|
10 |
agpl-3.0 |
Dockerfile |
| AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet. |
| zhou13/holicity |
56 |
|
0 |
0 |
about 4 years ago |
0 |
|
3 |
other |
Python |
| HoliCity: A City-Scale Data Platform for Learning Holistic 3D Structures |
| bertjiazheng/awesome-CAD |
52 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
|
| 😎 A list of awesome Computer-Aided Design (CAD) papers |
| Ryanglambert/3d_model_retriever |
29 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Experimenting with a newly published deep learning paper and how it can be used for content-based 3D model retrieval. (info retrieval for CAD) |
| yogeshhk/MidcurveNN |
27 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
mit |
Jupyter Notebook |
| Computation of Midcurve of Thin Polygons using Neural Networks |
| mathieuaubry/features_analysis |
21 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Implementation of the approach described in "Understanding deep features with computer-generated imagery" , M. Aubry and B. Russell, ICCV, 2015 |
| kim-sunghoon/Study-materials |
12 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
|
