40 dependents
| Package | Description | Downloads/month |
|---|---|---|
| Effector - a Python package for global and regional effect methods | 8K | |
| LazyQML is a Python library for rapid prototyping and automated benchmarking of ... | 4K | |
| Various attributes inferences attacks tested against fairness enforcing mechanis... | 1K | |
| Quoptuna is a Python package supporting over 20 quantum machine learning models ... | 1K | |
| A multi-objective multi-fairness boosting classifier | 1K | |
| Frictionless Governance for AI | 963 | |
| Medical Public Data Kit | 818 | |
| A framework for Quantification written in Python | 788 | |
| 460 | ||
| SegmentAE: A Python Library for Anomaly Detection Optimization | 448 | |
| This package provides code linked to the paper "Multimorbidity analysis with low... | 415 | |
| Toolkit for evaluating and enforcing ML model fairness | 410 | |
| A package of distributionally robust optimization (DRO) methods. Implemented via... | 406 | |
| A Python library for consistent preprocessing of tabular data with automatic typ... | 370 | |
| My installable package for income prediction | 316 | |
| TabCamel: A DataFrame-focused solution for tabular datasets in machine learning ... | 315 | |
| Amulet is a Python machine learning (ML) package to evaluate the susceptibility ... | 302 | |
| CLI-only version of the MMM-Fair boosting classifier | 274 | |
| Unified download and managing of real-world retail datasets for analysis and ben... | 254 | |
| Perturbation-based framework for understanding and interpreting Pytorch models | 252 | |
| Code implementation for "CLEAR: Calibrated Learning for Epistemic and Aleatoric ... | 244 | |
| Automated, interpretable feature engineering using symbolic regression and genet... | 240 | |
| A parser for FOL that utilizes NLTK Logic Module to parse and fuzzify FOL rules. | 235 | |
| Heteroscedastic uncertainty estimates for fair algorithms. | 208 | |
| 191 | ||
| A python package for eliciting prior knowledge from experts using large language... | 190 | |
| Customized and Simplified package for Core Supervised Learning Algorithms | 190 | |
| A package to perform ND Stepwise regression for multiclass problems. | 188 | |
| This is a repository of small code snippets designed to automate some parts of t... | 178 | |
| PhenoQC is a lightweight, efficient, and user-friendly toolkit designed to perfo... | 174 | |
| Tabular Synthetic Data Augmentation Library | 164 | |
| Torcwnn is a Python library for Weightless Neural Network | 149 | |
| 141 | ||
| TabStruct is a comprehensive benchmark suite for tabular data generation, predic... | 140 | |
| A Python toolbox for interpretable and explainable tree ensembles. | 114 | |
| Privacy-preserving data anonymization using k-anonymity and related algorithms. | 84 | |
| BinHD is a Python implementation based on A Binary Learning Framework for Hyperd... | 80 | |
| Higher Order Langevin Monte Carlo- A MCMC sampler for Bayesian inference | 71 | |
| A parser for FOL that utilizes NLTK Logic Module to parse and fuzzify FOL rules. | 63 | |
| bias mitigation by balancing target and/or protected attributes using resampling... | 23 |
