skpro

Probabilistic Predictor

A unified framework for probabilistic regression and prediction with Python-based tools.

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

GitHub

250 stars
12 watching
47 forks
Language: Python
last commit: 2 months ago
Linked from 1 awesome list

aidata-sciencedistributional-regressiondistributionsfailure-predictionframeworkmachine-learningpredictionprobability-distributionspythonregressionsklearnsktimesurvival-analysissurvival-modelssurvival-predictiontime-to-event

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
sktime/pysf A Python library for supervised forecasting of sequential data 55
skforecast/skforecast A Python library for building machine learning models to forecast time series data 1,189
microprediction/timemachines Provides a simple and unified interface to various univariate time-series prediction algorithms 413
robinthibaut/skbel A Python framework for Bayesian inference and regression using Gaussian processes. 24
pystruct/pystruct A structured learning and prediction library for Python 664
pysteps/pysteps A Python framework for ensemble prediction and forecast verification in various weather-related fields 477
uber/orbit A Python package for Bayesian time series forecasting and inference with probabilistic programming languages under the hood. 1,899
pgm-lab/inferpy A high-level API for probabilistic modeling with a focus on ease of use and scalability 149
rlouf/mcx Tools and methods for Bayesian deep learning using probabilistic programming. 328
stepelu/ptstat A PyTorch-based implementation of probabilistic programming and statistical inference tools 110
robertmartin8/machinelearningstocks A Python project applying machine learning to predict stock price movements based on historical data and fundamental analysis. 1,781
probprog/pyprob A probabilistic programming system for simulators and high-performance computing based on PyTorch 27
google/edward2 A tool for writing probabilistic models and manipulating their computation 680
johannfaouzi/pyts A Python package for time series classification and analysis 1,781
christophm/rulefit An algorithm implementation for rule-based prediction using gradient boosting and L1 regularization. 411