valeman / Awesome_CatBoostLinks
The repository to showcase the best framework for tabular data - the Awesome CatBoost
☆279Updated 3 months ago
Alternatives and similar repositories for Awesome_CatBoost
Users that are interested in Awesome_CatBoost are comparing it to the libraries listed below
Sorting:
- Forecasting: principles and practice in python☆197Updated 2 years ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆193Updated 3 weeks ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆191Updated 2 months ago
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆226Updated last year
- The best repository showing why SMOTE and resampling methods might not be the answer for imbalanced data problems☆53Updated 3 months ago
- The Orange Book of Machine Learning☆50Updated 3 months ago
- ☆292Updated 2 years ago
- WarpGBM: High-Speed Gradient Boosting☆94Updated 2 weeks ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆114Updated 2 months ago
- A Library for Conformal Hyperparameter Tuning☆104Updated last week
- Compendium of free ML reading resources☆471Updated 2 weeks ago
- Integrated tool for model development and validation☆33Updated 3 weeks ago
- Python package for conformal prediction☆548Updated last month
- ☆115Updated last year
- The best repo showing why bayesianism is a complete misnomer☆31Updated 2 months ago
- This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…☆19Updated last year
- Forecasting: Principles and Practice☆61Updated 4 years ago
- The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transfo…☆802Updated 3 weeks ago
- Quantile Regression Forests compatible with scikit-learn.☆250Updated last week
- Modern Time Series Forecasting with Python 2E, Published by Packt☆180Updated 3 weeks ago
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆26Updated 10 months ago
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated this week
- Shapley Interactions and Shapley Values for Machine Learning☆642Updated last week
- Modern Time Series Forecasting with Python, published by Packt☆540Updated 3 weeks ago
- ☆50Updated 2 months ago
- The repo for Mastering Modern Time Series Forecasting : The Complete Guide to Statistical, Machine Learning & Deep Learning Models in Pyt…☆57Updated 4 months ago
- ☆33Updated last year
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆44Updated 3 months ago
- Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.☆230Updated last month
- ☆41Updated 11 months ago