| Name | Version | Summary | date |
| moabb |
1.1.1 |
Mother of All BCI Benchmarks |
2024-09-18 11:27:49 |
| rliable |
1.2.0 |
rliable: Reliable evaluation on reinforcement learning and machine learning benchmarks. |
2024-08-12 20:50:58 |
| valconfig |
0.1.2 |
Simple, extendable configuration files, using Pydantic for validation. |
2024-08-09 20:54:15 |
| firelink-shrine |
0.0.0 |
A library for reproducible model training |
2024-08-03 18:32:07 |
| cm4mlperf |
4.1.0.2 |
None |
2024-07-10 02:07:41 |
| cm-mlperf |
0.9.1 |
None |
2024-06-25 08:38:39 |
| ml2json |
0.4.0 |
A safe, transparent way to share and deploy scikit-learn models. |
2024-06-08 22:37:37 |
| gradio-unifiedaudio |
0.0.4 |
Python library for easily interacting with trained machine learning models |
2024-06-05 19:47:30 |
| pyxet |
0.1.10 |
pyxet is a Python library that provides a lightweight interface for the XetHub platform. |
2024-05-21 19:36:50 |
| ZnTrack |
0.7.3 |
Create, Run and Benchmark DVC Pipelines in Python |
2024-05-14 14:41:55 |
| 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 |
| sciunit2 |
0.4.post115.dev43584757 |
Sciunit command line |
2024-03-25 23:28:54 |