| Name | Version | Summary | date |
| pyppbox-ultralytics |
8.1.48 |
Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-04-30 11:41:27 |
| hsml |
3.7.1 |
HSML: An environment independent client to interact with the Hopsworks Model Registry |
2024-04-29 09:34:00 |
| 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 |
| AvaxiaLLM |
0.0.1 |
Langgraph quickstart package. |
2024-04-22 02:02:34 |
| 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 |
| yolov8-rknn |
8.0.151 |
Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2024-04-12 12:16:51 |
| scalifiai-client |
1.3.0a8 |
SCALIFI AI NO CODE PLATFORM |
2024-04-11 12:20:38 |
| chc |
1.4 |
Search your favorite songs/artists/playlists/genres, Get details and recommendations. |
2024-04-10 13:36:22 |
| chos |
1.1 |
Search your favorite songs/artists/playlists/genres, Get details and recommendations. |
2024-04-10 12:36:29 |
| tgm-pymlip |
0.0.2 |
Package of scripts for MLIP training, validation, and deployment developed while in Szilvasi Group |
2024-03-28 18:27:39 |
| sapiensqa |
1.0.2 |
SapiensQA (Question and Answer) is a proprietary Machine Learning algorithm for creating Natural Language Processing models where the answers are previously known. |
2024-03-27 07:04:33 |
| sapiensnb |
1.0.4 |
SapiensNB (Naive Bayes) is a classification algorithm that returns a probabilistic result based on Bayes Theorem. |
2024-03-27 06:54:30 |
| sapiensknn |
1.0.3 |
SapiensKNN (K-Nearest Neighbors) is an algorithm for classification and regression that returns the result based on the Euclidean distance between the input values. |
2024-03-27 06:42:28 |