Name | Version | Summary | date |
metatensor-operations |
0.3.0 |
Operations to manipulate metatensor data types |
2024-10-30 09:51:51 |
scaleup-optimizers |
1.0.2 |
This library is use to optimize hyperparameter of machine learning with scale up algorithm |
2024-10-30 07:12:36 |
scaleup-optimizer |
1.0.9 |
This library is use to optimize hyperparameter of machine learning with scale up algorithm |
2024-10-30 03:53:02 |
natten |
0.17.2 |
Neighborhood Attention Extension. |
2024-10-29 22:57:48 |
toyml |
0.4.0 |
ToyML: Machine Learning from Scratch |
2024-10-29 15:08:58 |
sparrow-python |
0.3.1 |
None |
2024-10-28 17:25:45 |
zenml |
0.68.1 |
ZenML: Write production-ready ML code. |
2024-10-28 12:21:43 |
zenml-nightly |
0.68.0.dev20241028 |
ZenML: Write production-ready ML code. |
2024-10-28 00:59:29 |
imbalanced-learn-extra |
0.2.4 |
An implementation of novel oversampling algorithms. |
2024-10-26 17:10:21 |
gradio |
5.4.0 |
Python library for easily interacting with trained machine learning models |
2024-10-25 19:49:38 |
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 |
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 |
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 |