tornede / py_experimenterLinks
The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results in a unified manner in a database.
ā38Updated 2 weeks ago
Alternatives and similar repositories for py_experimenter
Users that are interested in py_experimenter are comparing it to the libraries listed below
Sorting:
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Dataā210Updated 2 months ago
- š Puncc is a python library for predictive uncertainty quantification using conformal prediction.ā350Updated 4 months ago
- scikit-activeml: A Comprehensive and User-friendly Active Learning Libraryā174Updated last month
- Python package for conformal predictionā537Updated 2 weeks ago
- Python Meta-Feature Extractor package.ā134Updated 2 months ago
- Repository for CARTE: Context-Aware Representation of Table Entriesā153Updated 2 months ago
- A Library for Uncertainty Quantification.ā920Updated 6 months ago
- ā492Updated last year
- An interactive framework to visualize and analyze your AutoML process in real-time.ā90Updated 2 weeks ago
- Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.ā78Updated this week
- Fast and incremental explanations for online machine learning models. Works best with the river framework.ā55Updated 10 months ago
- Probabilistic prediction with XGBoost.ā119Updated 7 months ago
- š Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecasterā114Updated 3 weeks ago
- Functional Data Analysis Python packageā336Updated last week
- xRFM: Accurate, scalable, and interpretable feature learning models for tabular dataā27Updated this week
- Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty iā¦ā266Updated last month
- For calculating global feature importance using Shapley values.ā278Updated last week
- Quantile Regression Forests compatible with scikit-learn.ā243Updated 2 weeks ago
- In-context Bayesian Optimizationā17Updated 2 months ago
- Competing Risks and Survival Analysisā108Updated last month
- A Living Benchmark for Machine Learning on Tabular Dataā129Updated this week
- Conformalized Quantile Regressionā290Updated 3 years ago
- Our maintained PFN repository. Come here to train SOTA PFNs.ā114Updated last month
- Effector - a Python package for global and regional effect methodsā117Updated 3 months ago
- scikit-learn contrib estimatorsā198Updated 3 weeks ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.ā262Updated last month
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.ā432Updated last week
- An extension of LightGBM to probabilistic modellingā341Updated 2 months ago
- An automated machine learning tool aimed to facilitate AutoML research.ā102Updated last year
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"ā169Updated last year