| Name | Version | Summary | date |
| ultralytics-yolov10-rknn |
8.1.34 |
Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-09-05 11:01:29 |
| jacobi-simulated-camera-driver |
0.1.0 |
Driver for simulated camera. |
2024-09-04 07:17:20 |
| ymsyolo10 |
0.0.3 |
Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-09-01 08:46:34 |
| sapiens-inferece |
0.2.0 |
Run Sapiens Human Foundation models in Pytorch |
2024-09-01 06:06:06 |
| omnihuman |
0.1.1 |
AI model that understands text and humanoids. |
2024-08-24 14:44:03 |
| open-metric-learning |
3.1.5 |
OML is a PyTorch-based framework to train and validate the models producing high-quality embeddings. |
2024-07-05 14:50:32 |
| unraphael |
0.2.1 |
Decoding Raphael: Computational Study of the Production and Reproduction of Italian Renaissance Paintings. |
2024-06-13 07:54:32 |
| first-breaks-picking-gpu |
0.7.4 |
Project is devoted to pick waves that are the first to be detected on a seismogram with neural network (CUDA accelerated) |
2024-05-31 07:46:26 |
| first-breaks-picking |
0.7.4 |
Project is devoted to pick waves that are the first to be detected on a seismogram with neural network |
2024-05-31 07:46:25 |
| phenocv |
0.1.4 |
Rice High Throughput Phenotyping Computer Vision Toolkit |
2024-04-23 05:27:13 |
| ultralytics-nogui |
8.2.2 |
Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-04-22 20:51:35 |
| yolov8-pose-triton |
8.2.0 |
Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-04-18 20:35:05 |
| wpodnet-pytorch |
1.0.3 |
The implementation of ECCV 2018 paper "License Plate Detection and Recognition in Unconstrained Scenarios" in PyTorch |
2024-04-10 09:38:47 |