sb-ai-lab / tsururuLinks
Tsururu is a Python-based library that provides a wide range of multi-series and multi-point-ahead prediction strategies, compatible with any underlying model, including neural networks.
☆136Updated last month
Alternatives and similar repositories for tsururu
Users that are interested in tsururu are comparing it to the libraries listed below
Sorting:
- A lightweight and fast auto-ml library☆79Updated 2 months ago
- Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training☆192Updated 4 months ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆191Updated 3 weeks ago
- Fast and customizable framework for automatic and quick Causal Inference in Python☆116Updated last week
- Library for automatic interpretable model building (Whitebox AutoML)☆43Updated 3 months ago
- Conformal Anomaly Detection☆51Updated last week
- A Library for Conformal Hyperparameter Tuning☆101Updated last month
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆114Updated 3 weeks ago
- (ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling☆779Updated 2 months ago
- A framework for calibration measurement of binary probabilistic models☆29Updated last year
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated this week
- The repository to showcase the best framework for tabular data - the Awesome CatBoost☆265Updated 2 months ago
- Integrated tool for model development and validation☆31Updated last month
- WarpGBM: High-Speed Gradient Boosting☆93Updated this week
- Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.☆22Updated 8 months ago
- The repository contains examples for the AutoML framework FEDOT☆51Updated last month
- ABacus: fast hypothesis testing and experiment design solution☆48Updated last year
- Practical Guide to Applied Conformal Prediction, published by Packt☆192Updated last month
- A Living Benchmark for Machine Learning on Tabular Data☆129Updated last week
- ML models + benchmark for tabular data classification and regression☆284Updated 2 months ago
- ☆14Updated last year
- Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.☆228Updated last week
- A lot of useful DS links☆16Updated last year
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆26Updated 8 months ago
- Python based GBDT implementation☆29Updated 3 years ago
- ETNA – Time-Series Library☆184Updated 2 months ago
- Quantile Regression Forests compatible with scikit-learn.☆243Updated 2 weeks ago
- Python framework for automated time series classification, regression and forecasting☆88Updated last week
- The Orange Book of Machine Learning☆49Updated last month
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆224Updated last year