feedzai / bank-account-fraudLinks
Supporting documentation for the paper "Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation", and the Bank Account Fraud suite of datasets.
☆76Updated last year
Alternatives and similar repositories for bank-account-fraud
Users that are interested in bank-account-fraud are comparing it to the libraries listed below
Sorting:
- Frouros: an open-source Python library for drift detection in machine learning systems.☆238Updated 3 weeks ago
- Repository for Fraud Dataset Benchmark☆232Updated 2 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆69Updated 2 years ago
- Train Gradient Boosting models that are both high-performance *and* Fair!☆106Updated 2 weeks ago
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆242Updated 5 months ago
- Benchmarking synthetic data generation methods.☆288Updated last week
- TimeSHAP explains Recurrent Neural Network predictions.☆193Updated last year
- Metrics to evaluate quality and efficacy of synthetic datasets.☆254Updated 3 weeks ago
- Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.☆62Updated last year
- Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data☆310Updated 7 months ago
- Forecast evaluation library☆134Updated last week
- A novel approach for synthesizing tabular data using pretrained large language models☆333Updated 2 weeks ago
- Editing machine learning models to reflect human knowledge and values☆127Updated 2 years ago
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated this week
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆102Updated 3 years ago
- Evaluate real and synthetic datasets against each other☆92Updated 4 months ago
- An Open-Source Library for the interpretability of time series classifiers☆144Updated 3 weeks ago
- A python library for hierarchical classification compatible with scikit-learn☆135Updated 9 months ago
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆226Updated last year
- Python implementation of binary and multi-class Venn-ABERS calibration☆191Updated 2 months ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆297Updated 2 years ago
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.☆56Updated last year
- Effector - a Python package for global and regional effect methods☆117Updated last week
- Synthetic Data Generation for mixed-type, multivariate time series.☆119Updated 3 weeks ago
- Software for evaluating the quality of synthetic data compared with real data.☆33Updated 8 months ago
- This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift☆30Updated 4 years ago
- An automated machine learning tool aimed to facilitate AutoML research.☆102Updated last year
- A library of Reversible Data Transforms☆130Updated 3 weeks ago