Lightweight Python package for generating classification intervals in binary classification tasks using Pearson residuals and conformal prediction
☆26Feb 20, 2026Updated 6 months ago
Alternatives and similar repositories for pearsonify
Users that are interested in pearsonify are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Integrated tool for model development and validation☆36Nov 7, 2025Updated 10 months ago
- Conformal Anomaly Detection & Change-Point Detection☆57Updated this week
- APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordina…☆45Jun 14, 2026Updated 3 months ago
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆17May 20, 2025Updated last year
- A framework for calibration measurement of binary probabilistic models☆31May 2, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- JAX-accelerated time-series forecasting library. Fast, scalable, and NumPy-compatible.☆59Sep 11, 2026Updated last week
- Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.☆26Feb 18, 2025Updated last year
- An implementation of Self-Calibrating Conformal Prediction, accepted to Neurips 2024. SC-CP combines Venn-Abers calibration and conformal…☆14Apr 16, 2026Updated 5 months ago
- The Resampling Delusion: A Geometric Theory of Class Imbalance☆22Jan 11, 2026Updated 8 months ago
- A Library for Conformal Hyperparameter Tuning☆104Nov 24, 2025Updated 9 months ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆207Sep 2, 2026Updated 2 weeks ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆118May 1, 2026Updated 4 months ago
- ☆55Mar 1, 2026Updated 6 months ago
- Explain XGBoost models with the Hoeffding functional decomposition.☆16Jul 8, 2026Updated 2 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Causal Impact but with MFLES and conformal prediction intervals☆33Dec 31, 2024Updated last year
- Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"☆15Jun 19, 2023Updated 3 years ago
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆30Mar 23, 2023Updated 3 years ago
- Elo ratings for time-series forecasting packages☆25Jan 5, 2022Updated 4 years ago
- ☆43Sep 13, 2022Updated 4 years ago
- Uncertainty-aware classification.☆17Jun 28, 2022Updated 4 years ago
- Replication code for the paper "Nonlinear Granger Causality using Kernel Ridge Regression" that introduces and highlights the usage of ml…☆23Sep 9, 2023Updated 3 years ago
- Calibration Framework for Machine Learning and Deep Learning☆17Jul 18, 2025Updated last year
- Conformal Prediction - A Practical Guide with MAPIE☆18Feb 18, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…☆18Apr 9, 2024Updated 2 years ago
- [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking☆14Jun 14, 2024Updated 2 years ago
- ☆30Dec 23, 2024Updated last year
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆478Aug 5, 2026Updated last month
- ☆19Mar 17, 2026Updated 6 months ago
- ☆23Apr 13, 2024Updated 2 years ago
- Bayesian optimization with conformal coverage guarantees☆29Oct 28, 2022Updated 3 years ago
- A Python package for data analysis with permutation entropy and ordinal network methods.☆117Aug 27, 2026Updated 3 weeks ago
- ☆20Mar 27, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This repo houses the data and project: Ecuador Retail Store Sales.☆14Sep 3, 2024Updated 2 years ago
- Fast implementations of common forecasting routines☆43Updated this week
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆408Updated this week
- Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.☆27Feb 6, 2025Updated last year
- Fast implementation of Venn-ABERS probabilistic predictors☆79Feb 15, 2024Updated 2 years ago
- Calibrated Explanations is an explanation method for uncertainty-aware explanations of classification and regression models.☆79Updated this week
- Conformal Prediction for Time-series Forecasting with Change Points☆28Oct 18, 2025Updated 11 months ago