Alternatives and similar repositories for multivariate-adaptive-regression-splines-demo:

Users that are interested in multivariate-adaptive-regression-splines-demo are comparing it to the libraries listed below

• jxx123 / fireTS
  A python multi-variate time series prediction library working with sklearn
  ☆94Updated 4 years ago
• briandesilva / discovery-of-physics-from-data
  Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"
  ☆27Updated 4 years ago
• PYFTS / notebooks
  Code examples for pyFTS
  ☆51Updated 5 years ago
• marcelcases / nonlinear-optimization
  Nonlinear optimization solving with multiple Python libraries
  ☆30Updated 4 years ago
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆30Updated 3 years ago
• hengzhe-zhang / PS-Tree
  An open source python library for non-linear piecewise symbolic regression based on Genetic Programming
  ☆32Updated 11 months ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆36Updated 3 years ago
• ari-dasci / S-TSFE-DL
  Time Series Feature Extraction using Deep Learning
  ☆58Updated last year
• pygpc-polynomial-chaos / pygpc
  A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
  ☆80Updated last month
• fnauman / timeseries
  Modeling time series using TensorFlow, scikit-learn, SINDy, SARIMA
  ☆16Updated 2 years ago
• atifkarim / Time-Series-Forecasting-Using-Machine-Learning-Algorithm
  Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME sof…
  ☆17Updated 2 years ago
• keurfonluu / StochANNPy
  StochANNPy (STOCHAstic Artificial Neural Network for PYthon) provides user-friendly routines compatible with Scikit-Learn for stochastic …
  ☆8Updated 7 years ago
• tomonori-masui / time-series-forecasting
  Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet
  ☆24Updated 5 months ago
• LironSimon / SciMED
  A computational framework for finding symbolic expressions from physical datasets.
  ☆60Updated 2 years ago
• nla-group / ABBA
  A symbolic time series representation building Brownian bridges
  ☆17Updated last year
• SALib / SATut
  Tutorials for Sensitivity Analysis using SALib
  ☆34Updated last month
• masatakashiwagi / analysis-tslearn
  Clustering using tslearn for Time Series Data.
  ☆49Updated 2 years ago
• erdogant / caerus
  Detection of favorable moments in time series data
  ☆31Updated 11 months ago
• tee-lab / PyDaddy
  Python package to discover stochastic differential equations from time series data
  ☆96Updated 3 months ago
• mooscaliaproject / pymoode
  A Python framework for Differential Evolution using pymoo.
  ☆49Updated 5 months ago
• sktime / sktime-workshops
  sktime workshops & tutorials
  ☆13Updated 3 years ago
• sayin / Data_Driven_Symbolic_Regression
  Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …
  ☆34Updated 4 years ago
• lanl / pyBASS
  Bayesian Adaptive Spline Surfaces for flexible and automatic regression
  ☆24Updated 10 months ago
• sktime / distance-based-time-series-clustering
  ☆10Updated 2 years ago
• CivML-PolyMtl / OpenBDLM
  Bayesian Dynamic Linear Models for time-series analysis
  ☆27Updated 3 years ago
• paobranco / SMOGN-LIDTA17
  SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
  ☆25Updated 7 years ago
• arnedb / tsfuse
  Python package for automatically constructing features from multiple time series
  ☆40Updated 8 months ago
• mariodeflorio / AI-Lorenz
  ☆32Updated last year
• Beramos / Workshop-NeuralODE-2020
  A 30-minute showcase on the how and the why of neural differential equations.
  ☆13Updated last year
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆76Updated 2 years ago