| Name | Version | Summary | date |
| maite |
0.7.1 |
Library of common types, protocols (a.k.a. structural subtypes), and utilities to support AI test and evaluation |
2024-11-07 02:46:41 |
| zenml-nightly |
0.68.1.dev20241107 |
ZenML: Write production-ready ML code. |
2024-11-07 00:59:04 |
| fimm |
0.0.1.post1 |
Finetune PyTorch Image Models with TIMM |
2024-11-06 23:19:35 |
| lume-model |
1.7.1 |
Data structures used in the LUME modeling toolset. |
2024-11-06 22:58:53 |
| xcs-rc |
1.2.4 |
Accuracy-based Learning Classifier Systems with Rule Combining |
2024-11-06 08:30:26 |
| pqm |
0.6.1 |
Implemenation of the PQMass two sample test from Lemos et al. 2024 |
2024-11-06 01:25:51 |
| sparrow-python |
0.3.6 |
None |
2024-11-05 17:53:31 |
| DeepTile |
2.0.8 |
Large image tiling and stitching library for scaling Python functions to arbitrary input image sizes. |
2024-11-05 01:19:22 |
| gradio |
5.5.0 |
Python library for easily interacting with trained machine learning models |
2024-11-04 23:15:16 |
| heart-library |
0.4.4 |
Hardened Extension of the Adversarial Robustness Toolbox (HEART) supports assessment of adversarial AI vulnerabilities in Test & Evaluation workflows. |
2024-11-04 20:58:17 |
| photonai |
2.5.0 |
PHOTONAI is a high level python API for designing and optimizing machine learning pipelines. |
2024-11-04 14:00:25 |
| ctreelearn |
0.1.9 |
A simple library for learning of connected filters based on component trees |
2024-11-04 13:26:58 |
| scaleup-optimizers |
1.0.5 |
This library is use to optimize hyperparameter of machine learning with scale up algorithm |
2024-11-04 03:03:41 |
| h2o-client |
3.46.0.6 |
H2O, Fast Scalable Machine Learning, for python |
2024-11-02 07:09:26 |
| h2o |
3.46.0.6 |
H2O, Fast Scalable Machine Learning, for python |
2024-11-02 07:09:16 |
| natten |
0.17.3 |
Neighborhood Attention Extension. |
2024-11-01 14:15:13 |
| qoa4ml |
0.3.17 |
Quality of Analysis for Machine Learning |
2024-11-01 12:59:48 |
| adaptivepca |
1.1.3 |
An advanced PCA implementation with adaptive feature scaling and preprocessing |
2024-10-31 03:51:45 |
| metatensor-learn |
0.3.0 |
Building blocks for the atomistic machine learning models based on PyTorch and NumPy |
2024-10-30 14:29:01 |
| mmcfilters |
0.0.4 |
A simple library for connected filters based on morphological trees |
2024-10-30 14:01:38 |