valeman / Awesome_CatBoostLinks
The repository to showcase the best framework for tabular data - the Awesome CatBoost
☆265Updated 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:
- Practical Guide to Applied Conformal Prediction, published by Packt☆193Updated 2 months ago
- Forecasting: principles and practice in python☆195Updated 2 years ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆191Updated last month
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆224Updated last year
- The best repository showing why SMOTE and resampling methods might not be the answer for imbalanced data problems☆52Updated 3 months ago
- The Orange Book of Machine Learning☆50Updated 2 months ago
- Quantile Regression Forests compatible with scikit-learn.☆247Updated 2 weeks ago
- ☆291Updated 2 years ago
- Python package for conformal prediction☆541Updated last month
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆113Updated last month
- Compendium of free ML reading resources☆422Updated last week
- Modern Time Series Forecasting with Python 2E, Published by Packt☆175Updated 2 months ago
- WarpGBM: High-Speed Gradient Boosting☆94Updated 3 weeks ago
- Integrated tool for model development and validation☆32Updated last week
- Forecasting: Principles and Practice☆61Updated 4 years ago
- This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…☆20Updated last year
- The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transfo…☆791Updated this week
- The best repo showing why bayesianism is a complete misnomer☆32Updated last month
- ☆115Updated last year
- A Library for Conformal Hyperparameter Tuning☆103Updated 3 weeks ago
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆26Updated 9 months ago
- Code repository for the online course "Feature Engineering for Time Series Forecasting".☆191Updated last year
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated this week
- Modern Time Series Forecasting with Python, published by Packt☆537Updated 2 months ago
- ☆49Updated last month
- ☆33Updated last year
- The repo for Mastering Modern Time Series Forecasting : The Complete Guide to Statistical, Machine Learning & Deep Learning Models in Pyt…☆49Updated 3 months ago
- Shapley Interactions and Shapley Values for Machine Learning☆634Updated this week
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆44Updated 3 months ago
- A lightweight and fast auto-ml library☆80Updated 2 months ago