| Name | Version | Summary | date |
| pysmatch |
1.0 |
Propensity Score Matching(PSM) on python |
2025-01-06 14:12:15 |
| sweepystats |
0.0.10 |
Python package to perform the statistical sweep operation on symmetric numpy matrices |
2025-01-04 00:41:02 |
| pSevenCore |
2024.12.27 |
pSeven Core is an integrated toolkit for design space exploration, optimization, and predictive modeling. |
2024-12-27 12:31:11 |
| adaptive-power-neurons |
0.4.0 |
A neural network model using adaptive power neurons for regression and classification |
2024-12-08 10:18:00 |
| QuantileRegression |
0.1.5 |
QuantileRegression package based on SciPy optimization routines. |
2024-12-07 15:09:47 |
| nexusml |
0.1.0b0 |
A multimodal AutoML platform for classification and regression tasks |
2024-12-05 17:32:05 |
| evorbf |
2.0.0 |
EvoRBF: A Nature-inspired Algorithmic Framework for Evolving Radial Basis Function Networks |
2024-12-04 11:57:58 |
| mixxx-bisect |
0.4.3 |
Finds Mixxx regressions by binary searching over prebuilt snapshots |
2024-12-03 01:02:48 |
| spreg |
1.8.1 |
PySAL Spatial Econometric Regression in Python |
2024-12-02 10:38:08 |
| laneatt |
2.4.5 |
A package to detect lane lines in images and videos |
2024-11-23 06:43:55 |
| supertree |
0.5.4 |
Visualize decision tree in Python |
2024-11-20 14:57:26 |
| graforvfl |
1.2.0 |
GrafoRVFL: A Gradient-Free Optimization Framework for Boosting Random Vector Functional Link Network |
2024-11-13 01:53:32 |
| metaperceptron |
2.0.0 |
MetaPerceptron: A Standardized Framework for Metaheuristic-Trained Multi-Layer Perceptron |
2024-11-04 07:36:03 |
| brif |
1.4.5 |
Build decision trees and random forests for classification and regression. |
2024-10-15 19:26:10 |
| intelelm |
1.2.0 |
IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine |
2024-10-09 06:10:03 |
| kafe2 |
2.9.0 |
Karlsruhe Fit Environment 2: a package for fitting and elementary data analysis |
2024-10-07 12:49:16 |
| polars-loess |
0.1.1 |
LOESS algorithm for Polars |
2024-10-06 15:27:40 |
| asgl |
2.1.2 |
A regression solver for high dimensional penalized linear, quantile and logistic regression models |
2024-10-01 19:33:17 |
| autotestreg |
0.2.1 |
Automatically test your functions to see if you have changed their behavior by mistake! |
2024-09-18 17:13:21 |
| dataprob |
0.9.4 |
Do likelihood based parameter estimation using maximum likeihood and bayesian methods |
2024-09-18 03:53:21 |