| microsoft/pai |
2,574 |
|
0 |
0 |
over 3 years ago |
55 |
July 18, 2021 |
281 |
mit |
JavaScript |
| Resource scheduling and cluster management for AI |
| pytorch/xla |
2,212 |
|
0 |
0 |
about 2 years ago |
3 |
October 04, 2023 |
507 |
other |
C++ |
| Enabling PyTorch on XLA Devices (e.g. Google TPU) |
| zhulf0804/3D-PointCloud |
1,940 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
|
Python |
| Papers and Datasets about Point Cloud. |
| WangYueFt/dgcnn |
1,179 |
|
0 |
0 |
almost 4 years ago |
0 |
|
22 |
mit |
Python |
| mit-han-lab/torchsparse |
998 |
|
0 |
0 |
over 2 years ago |
2 |
March 21, 2022 |
20 |
mit |
Cuda |
| TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs. |
| loicland/superpoint_graph |
691 |
|
0 |
0 |
over 2 years ago |
0 |
|
14 |
mit |
Python |
| Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs |
| stevenygd/PointFlow |
641 |
|
0 |
0 |
over 2 years ago |
0 |
|
11 |
mit |
Python |
| PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows |
| ThibaultGROUEIX/AtlasNet |
561 |
|
0 |
0 |
over 3 years ago |
0 |
|
11 |
mit |
Python |
| This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image. |
| modal-labs/modal-examples |
450 |
|
0 |
0 |
about 2 years ago |
0 |
|
27 |
mit |
Python |
| Examples of programs built using Modal |
| koursaros-ai/nboost |
439 |
|
0 |
0 |
over 5 years ago |
26 |
June 12, 2020 |
18 |
apache-2.0 |
Python |
| NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch) |
