| Name | Version | Summary | date |
| uq-physicell |
1.2.1 |
Project to perform uncertainty quantification of PhysiCell models |
2025-11-05 21:30:22 |
| autogmm |
0.1.0 |
Automatic Gaussian Mixture Modeling in Python |
2025-09-14 01:44:13 |
| automl-framework |
0.1.1 |
A comprehensive, modular framework for automated machine learning with overfitting detection and mitigation |
2025-07-23 02:27:05 |
| nadir-llm |
0.1.0 |
Dynamic LLM Model Selector based on Prompt Complexity |
2025-02-08 17:28:12 |
| mintii |
0.1.1 |
Mintii Router: Intelligent LLM Model Selection and Optimization Library. Automatically selects the best Large Language Model for each prompt, optimizing for cost, quality, and performance. |
2024-12-16 03:59:10 |
| model-confidence-set |
0.1.3 |
model-confidence-set provides a Python implementation of the Model Confidence Set (MCS) procedure (Hansen, Lunde, and Nason, 2011), a statistical method for comparing and selecting models based on their performance. |
2024-10-21 13:50:08 |
| phylodeep |
0.9 |
Phylodynamic paramater and model inference using pretrained deep neural networks. |
2024-09-20 14:44:52 |
| mquad |
0.1.8 |
MQuad - Mixture Modelling for Mitochondrial Mutation detection |
2024-05-03 09:11:55 |
| featuristic |
1.1.0 |
Genetic algorithms for automated feature engineering and feature selection |
2024-04-10 14:40:08 |