Alternatives and similar repositories for dtype_diet

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

• tblume1992 / MFLES
  ☆115Updated last year
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆189Updated 2 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆241Updated this week
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆112Updated 4 months ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆71Updated last year
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆196Updated 2 years ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆279Updated last week
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆92Updated last year
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated this week
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆81Updated 2 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆156Updated last year
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆424Updated last year
• jmoralez / window_ops
  Fast window operations
  ☆44Updated last year
• getml / getml-community
  Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
  ☆217Updated 3 months ago
• microprediction / timemachines
  Predict time-series with one line of code.
  ☆430Updated 10 months ago
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆83Updated this week
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• joneswack / conformal-predictions-from-scratch
  Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
  ☆223Updated last year
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆517Updated 2 months ago
• erdogant / distfit
  distfit is a python library for probability density fitting.
  ☆402Updated last week
• deel-ai / puncc
  👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.
  ☆346Updated 3 months ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆167Updated this week
• mikekeith52 / scalecast
  The practitioner's forecasting library
  ☆342Updated last month
• jefferythewind / warpgbm
  WarpGBM: High-Speed Gradient Boosting
  ☆90Updated 2 months ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last year
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆31Updated last month
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆56Updated this week
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆61Updated last year