Alternatives and similar repositories for rtchange

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

• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 8 years ago
• sky-uk / anticipy
  A Python library for time series forecasting
  ☆82Updated 2 months 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
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• WinVector / pyvtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆121Updated 8 months ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 4 years ago
• johntwk / Python-ML-rolling-grid-search
  Hyperparameter tuning and rolling time-series forecast for machine learning models
  ☆17Updated 7 years ago
• alteryx / predict-correct-answer
  Predict whether a student will correctly answer a problem based on past performance using automated feature engineering
  ☆32Updated 5 years ago
• drivendataorg / power-laws-cold-start
  ☆23Updated 2 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 3 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• gdmarmerola / random-stuff
  Random stuff I've been working on
  ☆29Updated last year
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 8 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 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 last year
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆118Updated 2 years ago
• aslakey / CBM_Encoding
  CBM Encoding
  ☆19Updated 4 years ago
• david-cortes / costsensitive
  (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)
  ☆48Updated 4 months ago
• minerva-ml / steppy-examples
  Examples and tutorials to the steppy library
  ☆21Updated 6 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 5 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 2 years ago
• hamaadshah / autoencoders_tensorflow
  Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.
  ☆72Updated 2 years ago
• RJT1990 / talks
  ☆12Updated 9 years ago
• tgsmith61591 / skoot
  A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…
  ☆57Updated 4 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆27Updated 5 years ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 4 years ago
• shellshock1911 / Sky-Cast-Capstone
  Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series
  ☆68Updated 7 years ago
• jfpuget / metrics
  Python implementation of machine learning metrics
  ☆14Updated 7 years ago