| Name | Version | Summary | date |
| mitosis |
0.5.4 |
Reproduce Machine Learning experiments easily |
2024-08-27 22:04:04 |
| sprout-ml |
0.70 |
SPROUT - a Safety wraPper thROugh ensembles of UncertainTy measures |
2024-08-27 11:56:52 |
| MiniSom |
2.3.3 |
Minimalistic implementation of the Self Organizing Maps (SOM) |
2024-08-23 12:22:45 |
| mlrose-ky |
1.0.6 |
MLROSe-ky: Machine Learning, Randomized Optimization and Search |
2024-08-22 07:05:33 |
| outlines-core |
0.1.0 |
Structured Text Generation in Rust |
2024-08-21 14:03:49 |
| pqm |
0.5.1 |
Implemenation of the PQMass two sample test from Lemos et al. 2024 |
2024-08-20 17:25:01 |
| milad |
0.3.1 |
Moment Invariants Local Atomic Descriptor |
2024-08-20 12:51:42 |
| motrainer |
0.1.7 |
Parallel Training Measurement Operators (MO) for Data Assimilation (DA) Applications |
2024-08-20 12:50:53 |
| subwiz |
0.1.3 |
A recon tool that uses AI to predict subdomains. Then returns those that resolve. |
2024-08-18 18:45:18 |
| graph2mat |
0.0.6 |
Utility package to work with equivariant matrices and graphs. |
2024-08-18 17:47:49 |
| sparrow-python |
0.2.5 |
None |
2024-08-17 13:50:34 |
| heart-library |
0.4.1 |
Hardened Extension of the Adversarial Robustness Toolbox (HEART) supports assessment of adversarial AI vulnerabilities in Test & Evaluation workflows. |
2024-08-14 14:38:53 |
| mdatagen |
0.1.63 |
mdatagen: A Python Library for the Generation of Artificial Missing Data |
2024-08-13 19:27:13 |
| mlgb |
0.0.6 |
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. |
2024-08-13 15:01:05 |
| cellmap-models |
0.0.5 |
Repository of model architectures and network weights used for CellMap segmentations. |
2024-08-12 15:13:06 |
| mlrl-boomer |
0.11.0 |
A scikit-learn implementation of BOOMER - an algorithm for learning gradient boosted multi-label classification rules |
2024-08-09 23:46:10 |
| mlrl-seco |
0.11.0 |
A scikit-learn implementation of a separate-and-conquer multi-label rule learning algorithm |
2024-08-09 23:44:51 |
| mlrl-common |
0.11.0 |
Provides common modules to be used by different types of multi-label rule learning algorithms |
2024-08-09 23:44:20 |
| mlrl-testbed |
0.11.0 |
Provides utilities for the training and evaluation of machine learning algorithms |
2024-08-09 23:40:42 |
| zenml |
0.64.0 |
ZenML: Write production-ready ML code. |
2024-08-08 18:10:03 |