| foolwood/benchmark_results |
2,992 |
|
0 |
0 |
almost 6 years ago |
0 |
|
17 |
|
|
| Visual Tracking Paper List |
| OpenSourceAP/CrossSection |
516 |
|
0 |
0 |
over 2 years ago |
0 |
|
11 |
gpl-2.0 |
Stata |
| Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing" |
| weimingwill/awesome-federated-learning |
482 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Shell |
| All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc. |
| p-lambda/wilds |
454 |
|
0 |
0 |
about 3 years ago |
0 |
|
3 |
mit |
Python |
| A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models. |
| Angzz/awesome-panoptic-segmentation |
430 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
|
|
| Panoptic Segmentation Resources List |
| sxjscience/HKO-7 |
346 |
|
0 |
0 |
over 3 years ago |
0 |
|
5 |
mit |
Python |
| Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model" |
| DavidZhangdw/Visual-Tracking-Development |
337 |
|
0 |
0 |
about 2 years ago |
0 |
|
2 |
|
Python |
| Visual Object Tracking |
| lzx551402/ASLFeat |
275 |
|
0 |
0 |
about 3 years ago |
0 |
|
14 |
mit |
Python |
| Implementation of CVPR'20 paper - ASLFeat: Learning Local Features of Accurate Shape and Localization |
| taozh2017/RGBD-SODsurvey |
267 |
|
0 |
0 |
over 2 years ago |
0 |
|
5 |
|
MATLAB |
| RGB-D Salient Object Detection: A Survey |
| numenta/htmpapers |
261 |
|
0 |
0 |
about 4 years ago |
0 |
|
2 |
agpl-3.0 |
Jupyter Notebook |
| Numenta published papers code and data |
