Alternatives and similar repositories for feature-selection-adding-noise

Users that are interested in feature-selection-adding-noise are comparing it to the libraries listed below

• skforecast / skforecast
  Time series forecasting with machine learning models
  ☆1,370Updated this week
• erdogant / distfit
  distfit is a python library for probability density fitting.
  ☆404Updated 2 weeks ago
• scikit-learn-contrib / MAPIE
  A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
  ☆1,460Updated this week
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆382Updated last year
• Gurobi / gurobipy-pandas
  Convenience wrapper for building optimization models from pandas data
  ☆97Updated 6 months ago
• Nixtla / mlforecast
  Scalable machine 🤖 learning for time series forecasting.
  ☆1,067Updated 2 weeks ago
• wbpowell328 / stochastic-optimization
  Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
  ☆353Updated 6 years ago
• zgana / fpp3-python-readalong
  Python-centered read-along of Forecasting: Principles and Practice
  ☆508Updated last year
• rebase-energy / EnergyDataModel
  🔋 Represent energy systems as Python data classes for improved modularity and readability
  ☆67Updated 5 months ago
• meteostat / meteostat-python
  Access and analyze historical weather and climate data with Python.
  ☆528Updated 2 months ago
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆698Updated last week
• henrikbostrom / crepes
  Python package for conformal prediction
  ☆519Updated 3 months ago
• vsevolodnedora / energy_market_analysis
  ☆28Updated this week
• david26694 / cluster-experiments
  Power analysis and AB test analysis library
  ☆42Updated last month
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆242Updated this week
• mobook / MO-book
  Hands-On Optimization with Python
  ☆225Updated 3 weeks ago
• OpenSourceEconomics / skillmodels
  ☆15Updated 2 months ago
• pymc-labs / CausalPy
  A Python package for causal inference in quasi-experimental settings
  ☆1,036Updated last week
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆659Updated 3 weeks ago
• georgebv / pyextremes
  Extreme Value Analysis (EVA) in Python
  ☆260Updated last month
• devindg / pybuc
  Bayesian Structural Time Series / Unobserved Components
  ☆34Updated 3 months ago
• PacktPublishing / Practical-Guide-to-Applied-Conformal-Prediction
  Practical Guide to Applied Conformal Prediction, published by Packt
  ☆192Updated 3 weeks ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆430Updated last year
• mikekeith52 / scalecast
  The practitioner's forecasting library
  ☆343Updated this week
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆648Updated 8 months ago
• nci / scores
  scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
  ☆186Updated last week
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆333Updated last month
• Nixtla / fpp3-python
  Forecasting: principles and practice in python
  ☆186Updated 2 years ago
• rebase-energy / enflow
  ⚡ Open-source Python framework for modelling sequential decision problems in the energy sector
  ☆59Updated 5 months ago
• jeslago / epftoolbox
  An open-access benchmark and toolbox for electricity price forecasting
  ☆269Updated 8 months ago