| Name | Version | Summary | date |
| gradio |
4.31.4 |
Python library for easily interacting with trained machine learning models |
2024-05-17 21:35:26 |
| swanlab |
0.3.2 |
Python library for streamlined tracking and management of AI training processes. |
2024-05-17 13:20:43 |
| ZnTrack |
0.7.3 |
Create, Run and Benchmark DVC Pipelines in Python |
2024-05-14 14:41:55 |
| gofigr |
0.17.2 |
GoFigr client library |
2024-05-13 18:12:56 |
| dvc |
3.50.2 |
Git for data scientists - manage your code and data together |
2024-05-13 17:27:07 |
| expyrun |
0.0.8 |
Run reproducible experiments from yaml configuration file |
2024-04-26 09:21:57 |
| simbench |
1.5.3 |
Electrical Power System Benchmark Models. |
2024-04-23 13:51:57 |
| gradio-imageslider |
0.0.20 |
A Gradio component for comparing two images. This component can be used in several ways: - as a **unified input / output** where users will upload a single image and an inference function will generate an image it can be compared to (see demo), - as a **manual upload input** allowing users to compare two of their own images (which can then be passed along elsewhere, e.g. to a model), - as **static output component** allowing users to compare two images generated by an inference function. |
2024-04-19 14:41:11 |
| ipsuite |
0.1.2 |
A suite of tools for machine learned interatomic potentials. |
2024-04-19 13:00:35 |
| sierra-research |
1.3.6 |
Automation framework for the scientific method in AI research |
2024-04-01 09:28:33 |
| sciunit2 |
0.4.post115.dev43584757 |
Sciunit command line |
2024-03-25 23:28:54 |