noklam / dtype_dietLinks
Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
☆51Updated last year
Alternatives and similar repositories for dtype_diet
Users that are interested in dtype_diet are comparing it to the libraries listed below
Sorting:
- ☆115Updated last year
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆113Updated 5 months ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆190Updated last week
- tsbootstrap: generate bootstrapped time series samples in Python☆82Updated 2 months ago
- Fast window operations☆45Updated last year
- Quantile Regression Forests compatible with scikit-learn.☆242Updated last week
- Forecasting with Gradient Boosted Time Series Decomposition☆197Updated 2 years ago
- implementation of Cyclic Boosting machine learning algorithms☆93Updated last year
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated this week
- A python package for time series forecasting with scikit-learn estimators.☆162Updated last year
- A library for Time Series EDA (exploratory data analysis)☆71Updated last year
- Integrated tool for model development and validation☆31Updated last week
- WarpGBM: High-Speed Gradient Boosting☆91Updated 3 months ago
- A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python☆279Updated this week
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆224Updated last year
- Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.☆224Updated 4 months ago
- Fast implementations of common forecasting routines☆41Updated 3 weeks ago
- A Library for Conformal Hyperparameter Tuning☆36Updated last week
- Hierarchical Time Series Forecasting with a familiar API☆225Updated 2 years ago
- Helper functions to plot, evaluate, preprocess and engineer features for forecasting☆86Updated last week
- Probabilistic Gradient Boosting Machines☆156Updated last year
- Phi_K correlation analyzer library☆166Updated last week
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆61Updated last year
- 📊 Explain why metrics change by unpacking them☆40Updated 2 months ago
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆26Updated 7 months ago
- The Orange Book of Machine Learning☆49Updated last month
- Methods for online conformal prediction.☆116Updated 5 months ago
- The practitioner's forecasting library☆343Updated last week
- Predict time-series with one line of code.☆431Updated 11 months ago
- A power-full Shapley feature selection method.☆210Updated last week