AnFreTh / STREAMLinks
A versatile Python package engineered for seamless topic modeling, topic evaluation, and topic visualization. Ideal for text analysis, natural language processing (NLP), and research in the social sciences, STREAM simplifies the extraction, interpretation, and visualization of topics from large, complex datasets.
☆38Updated 3 months ago
Alternatives and similar repositories for STREAM
Users that are interested in STREAM are comparing it to the libraries listed below
Sorting:
- Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dis…☆225Updated this week
- Python implementation of binary and multi-class Venn-ABERS calibration☆163Updated 8 months ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆111Updated last month
- Repository for the explanation method Calibrated Explanations (CE)☆65Updated 2 weeks ago
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆72Updated 2 weeks ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆330Updated last week
- Shapley Interactions and Shapley Values for Machine Learning☆554Updated last week
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆101Updated 2 years ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- A scikit-learn-compatible module for comparing imputation methods.☆137Updated 3 weeks ago
- AutoML for causal inference.☆221Updated 5 months ago
- Quantile Regression Forests compatible with scikit-learn.☆230Updated last month
- ☆13Updated 3 months ago
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆125Updated last week
- TimeSHAP explains Recurrent Neural Network predictions.☆175Updated last year
- Experimental library integrating LLM capabilities to support causal analyses☆206Updated last week
- Resources for some of our education content☆41Updated 4 months ago
- A power-full Shapley feature selection method.☆208Updated last year
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆139Updated 10 months ago
- ☆199Updated 3 weeks ago
- Exploratory repository to study predictive survival analysis models☆34Updated 2 years ago
- Editing machine learning models to reflect human knowledge and values☆124Updated last year
- Tabular In-Context Learning☆67Updated 2 months ago
- Practical Guide to Applied Conformal Prediction, published by Packt☆177Updated 3 weeks ago
- Competing Risks and Survival Analysis☆102Updated 2 weeks ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆148Updated last month
- Frouros: an open-source Python library for drift detection in machine learning systems.☆219Updated 2 weeks ago
- Conformal Anomaly Detection☆48Updated 2 weeks ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆48Updated 2 years ago