Alternatives and similar repositories for weibull

Users that are interested in weibull are comparing it to the libraries listed below

• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• yoyolin / mcmc-tutorial
  This is a python tutorial for Bayesian inferences using MCMC. It includes concepts of reject sampling, markov chain stationary distributi…
  ☆14Updated 9 years ago
• sky-uk / anticipy
  A Python library for time series forecasting
  ☆82Updated 6 months ago
• paulbrodersen / entropy_based_binning
  Entropy based binning of discrete variables.
  ☆34Updated 5 years ago
• 2wavetech / How-to-Check-if-Time-Series-Data-is-Stationary-with-Python
  How to Check if Time Series Data is Stationary with Python
  ☆31Updated 8 years ago
• aschleg / hypothetical
  Hypothesis and statistical testing in Python
  ☆65Updated 5 years ago
• martinagvilas / tutorial-jupyterbook-with-turing-way
  A draft of the JupyterBook / The Turing Way tutorial for the JupyterCon 2020
  ☆16Updated 4 years ago
• microprediction / timeseries-elo-ratings
  Elo ratings for time-series forecasting packages
  ☆25Updated 3 years ago
• SimonOuellette35 / Introduction_to_PyMC3
  ☆39Updated 7 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• fonnesbeck / mcmc_pydata_london_2019
  PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
  ☆160Updated 5 years ago
• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 4 years ago
• cliburn / sta-663-2019
  Course notes for Computational Statistics and Statistical Compuing
  ☆63Updated 6 years ago
• vcerqueira / experiments-sizematters
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated last week
• fonnesbeck / Bayes_Computing_Course
  ☆233Updated 4 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated 2 years ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆147Updated 2 years ago
• ritchie46 / vanilla-machine-learning
  vanilla machine learning
  ☆112Updated 2 years ago
• pymc-learn / pymc-learn-book
  Book: Practical Probabilistic Machine Learning in Python
  ☆10Updated 4 years ago
• sarincr / Time-series-analysis-using-Python
  Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…
  ☆34Updated 6 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 4 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆72Updated 4 years ago
• VowpalWabbit / estimators
  Estimators to perform off-policy evaluation
  ☆13Updated last year
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆27Updated 5 years ago
• jehangiramjad / tslib
  Time Series Forecasting and Imputation
  ☆48Updated 4 years ago
• jxx123 / fireTS
  A python multi-variate time series prediction library working with sklearn
  ☆100Updated 5 years ago
• NicolasDurrande / Gaussian-Processes-short-course
  ☆14Updated 8 years ago
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆230Updated last year