Name | Version | Summary | date |
PyTimbre |
0.9.7 |
Python conversion of Timbre Toolbox |
2024-10-25 18:49:59 |
scikit-learn-intelex |
2025.0.0 |
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application. |
2024-10-25 10:57:38 |
toyml |
0.3.2 |
ToyML: Machine Learning from Scratch |
2024-10-25 06:25:45 |
scaleup-optimizer |
1.0.0 |
This library is use to optimize hyperparameter of machine learning with scale up algorithm |
2024-10-25 04:07:22 |
zenml |
0.68.0 |
ZenML: Write production-ready ML code. |
2024-10-24 23:35:09 |
mitosis |
0.5.6 |
Reproduce Machine Learning experiments easily |
2024-10-24 21:23:46 |
metatensor-core |
0.1.11 |
Python bindings for metatensor |
2024-10-24 10:40:21 |
ctreelearn |
0.1.7 |
A simple library for learning of connected filters based on component trees |
2024-10-23 13:39:54 |
gradio |
5.3.0 |
Python library for easily interacting with trained machine learning models |
2024-10-22 02:47:32 |
sparrow-python |
0.2.7.2 |
None |
2024-10-21 17:00:11 |
iclearn |
0.0.2 |
A collection of utilities for machine learning applications. |
2024-10-21 13:51:39 |
swanlab |
0.3.23 |
Python library for streamlined tracking and management of AI training processes. |
2024-10-21 06:39:15 |
ml-experiment |
0.0.9 |
Machine Learning Experiment Framework |
2024-10-18 17:09:51 |
phiml |
1.9.3 |
Unified API for machine learning |
2024-10-18 15:39:37 |
hep-ml |
0.7.3 |
Machine Learning for High Energy Physics |
2024-10-16 21:52:19 |
maite |
0.6.1 |
Library of common types, protocols (a.k.a. structural subtypes), and utilities to support AI test and evaluation |
2024-10-16 13:02:58 |
evokit |
0.1 |
The EvoKit framework, experiment build 1 |
2024-10-16 01:55:12 |
outlines |
0.1.1 |
Probabilistic Generative Model Programming |
2024-10-15 12:55:26 |
qoa4ml |
0.3.16 |
Quality of Analysis for Machine Learning |
2024-10-15 10:40:02 |
metatensor-operations |
0.2.4 |
Operations to manipulate metatensor data types |
2024-10-14 09:37:03 |