feedzai / bank-account-fraud
☆67Updated 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
- Train Gradient Boosting models that are both high-performance *and* Fair!☆104Updated 10 months ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆65Updated 2 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- A Natural Language Interface to Explainable Boosting Machines☆66Updated 9 months ago
- Repository for Fraud Dataset Benchmark☆172Updated last year
- A novel approach for synthesizing tabular data using pretrained large language models☆310Updated 5 months ago
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- TimeSHAP explains Recurrent Neural Network predictions.☆173Updated last year
- Benchmarking synthetic data generation methods.☆272Updated this week
- Simulation framework for customs fraud detection using import declarations.☆30Updated 2 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆104Updated last year
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆225Updated last month
- A repo for transfer learning with deep tabular models☆102Updated 2 years ago
- For calculating Shapley values via linear regression.☆67Updated 3 years ago
- Explaining Anomalies Detected by Autoencoders Using SHAP☆33Updated 5 years ago
- Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)☆82Updated 2 years ago
- Frouros: an open-source Python library for drift detection in machine learning systems.☆215Updated 2 months ago
- A toolbox for differentially private data generation☆131Updated last year
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆100Updated 2 years ago
- Repository for the explanation method Calibrated Explanations (CE)☆65Updated this week
- Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.☆53Updated last year
- Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.☆17Updated last year
- Compare and ensemble models without retraining☆54Updated this week
- A software package for privacy-preserving generation of a synthetic twin to a given sensitive data set.☆52Updated 7 months ago
- Expanding Explainable K-Means Clustering☆94Updated 2 years ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆44Updated 2 years ago
- Generating Tabular Synthetic Data using State of the Art GAN architecture☆79Updated 4 years ago
- Multi-Objective Counterfactuals☆41Updated 2 years ago
- For calculating global feature importance using Shapley values.☆267Updated this week
- Metrics to evaluate quality and efficacy of synthetic datasets.☆231Updated last week