| Name | Version | Summary | date |
| cognition |
0.0.0 |
LM abstractions |
2023-07-17 14:36:30 |
| torchdrug |
0.2.1 |
A powerful and flexible machine learning platform for drug discovery |
2023-07-16 22:07:36 |
| pykinect-recorder |
0.9.4 |
|
2023-07-16 12:39:27 |
| geode-ml |
2.7.1 |
Classes and methods to help with the creation of geospatial training datasets and deep-learning models. |
2023-07-14 14:55:23 |
| mlflow-tritonserver |
1.1.0 |
Tritonserver Mlflow Deployment |
2023-07-14 11:07:37 |
| yolov8 |
0.0.2 |
:warning: The `yolov8` package is a placeholder, not the official Ultralytics version. Please install the official `ultralytics` package via `pip install ultralytics` instead. |
2023-07-13 20:19:53 |
| DeepMol |
1.0.2 |
DeepMol: a python-based machine and deep learning framework for drug discovery |
2023-07-13 15:33:52 |
| transformersplus |
0.2.0 |
Add Some plus features to transformers. |
2023-07-12 10:40:13 |
| yolov5-utils |
7.1.4 |
Packaged version of the Yolov5 object detector |
2023-07-06 06:41:16 |
| dqclibs |
0.1.1 |
Libraries for DQC |
2023-07-05 11:17:43 |
| jina-hubble-sdk |
0.39.0 |
SDK for Hubble API at Jina AI. |
2023-07-05 09:23:58 |
| captum-rise |
1.0 |
The implementation of the RISE algorithm for the Captum framework |
2023-07-01 00:56:38 |
| ppmmvehicle |
1.0.1 |
Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2023-06-30 03:32:52 |
| ultralytics-dist-yolo |
99.99 |
Ultralytics YOLOv8 for SOTA object detection, multi-object tracking, instance segmentation, pose estimation and image classification. |
2023-06-28 07:09:15 |
| gull-api |
0.0.15 |
A REST API for running Large Language Models |
2023-06-27 12:20:17 |
| cmon-ai |
0.42.6 |
Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · MLOps |
2023-06-25 16:26:09 |
| cmon.pw |
0.42.6 |
Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · MLOps |
2023-06-25 16:15:45 |
| climpy |
0.0.4 |
Tools to analyse climate data for machine learning and event analysis |
2023-06-23 21:55:24 |
| atomcloud |
0.0.1 |
Conventional method for fitting atom cloud, BECs and bimodal atom cloud/BEC distributions in 1D and 2D. |
2023-06-23 13:32:15 |
| framework-reproducibility |
0.5.0 |
Providing reproducibility in deep learning frameworks |
2023-06-22 22:58:38 |