kozodoi / Fair_Credit_ScoringLinks
⚖️ Fair ML in credit scoring: Assessment, implementation and profit implications
☆39Updated 3 years ago
Alternatives and similar repositories for Fair_Credit_Scoring
Users that are interested in Fair_Credit_Scoring are comparing it to the libraries listed below
Sorting:
- GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]☆31Updated 3 years ago
- ☆23Updated 4 years ago
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆87Updated 6 years ago
- [AMAI 2024] Selective: Feature Selection Library☆68Updated 2 months ago
- Example usage of scikit-hts☆57Updated 3 years ago
- A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES☆38Updated last year
- Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Mode…☆118Updated 2 years ago
- Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))☆123Updated 3 years ago
- Statistical analysis and visualization of state transition phenomena☆86Updated 10 months ago
- My second place solution in the M5 Accuracy competition☆73Updated 5 years ago
- ☆31Updated 3 years ago
- Time-Series forecasting using Stats models, LightGBM & LSTM☆39Updated 5 years ago
- This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)☆59Updated 7 years ago
- Hello world univariate examples for a variety of time series packages.☆57Updated last year
- Time Series Forecasting with LightGBM☆86Updated 3 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- Various methods for generating synthetic data for data science and ML☆80Updated 4 years ago
- Time Series Forecasting for the M5 Competition☆41Updated 4 years ago
- Public solution for AutoSeries competition☆72Updated 5 years ago
- Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…☆34Updated 5 years ago
- Synthetic Data Generation for mixed-type, multivariate time series.☆118Updated 3 weeks ago
- How to use XGBoost for multi-step time series forecasting☆41Updated 3 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆65Updated 8 months ago
- A toolkit to boost the productivity of machine learning engineers.☆52Updated 3 years ago
- Code examples for pyFTS☆52Updated 6 years ago
- TSForecasting: Automated Time Series Forecasting Framework☆29Updated 11 months ago
- Validation for forecasts☆17Updated 2 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆108Updated 3 years ago
- Methods for online conformal prediction.☆117Updated 6 months ago
- Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet☆25Updated 11 months ago