Alternatives and similar repositories for Piecewise-linear-regression:

Users that are interested in Piecewise-linear-regression are comparing it to the libraries listed below

• AnchorBlues / GroupLasso
  Group Lasso package for Python.
  ☆15Updated last year
• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆26Updated 4 years ago
• godatadriven / piven
  Prediction Intervals with specific value prediction
  ☆18Updated 4 years ago
• joshloyal / L1-Trend-Filtering
  This is a Python package wrapper around the C solver for the l1 trend filtering algorithm written by Kwangmoo Koh, Seung-Jean Kim and Ste…
  ☆20Updated 6 years ago
• jupiters1117 / mico
  MICO: Mutual Information and Conic Optimization for feature selection
  ☆17Updated 2 years ago
• Leo-Simpson / c-lasso
  c-lasso: a Python package for constrained sparse regression and classification
  ☆32Updated 3 years ago
• regreg / regreg
  A multi-algorithm Python framework for regularized regression
  ☆13Updated last year
• vistalab-technion / vqr
  Vector Quantile Regression
  ☆19Updated last year
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆44Updated 5 years ago
• erichson / rTensor
  Randomized Tensor Decompositions
  ☆30Updated 8 years ago
• sremes / nonstationary-spectral-kernels
  Implementation for Non-stationary Spectral Kernels (NIPS 2017)
  ☆20Updated 5 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆27Updated 4 years ago
• jjfeng / spinn
  Sparse-input neural networks
  ☆22Updated 2 years ago
• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆24Updated 4 years ago
• bee-hive / MedGP
  A distributed version of the sparse multi-output Gaussian process framework integrating python and C++.
  ☆29Updated 7 years ago
• yicjia / DeepQuantreg
  Deep Learning for Quantile Regression under Right Censoring
  ☆26Updated 3 years ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• KIT-IAI / pyWATTS
  pyWATTS: Python Workflow Automation Tool for Time-Series
  ☆38Updated 8 months ago
• hendersontrent / feature-set-comp
  Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.
  ☆11Updated 2 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 7 years ago
• SvenSerneels / direpack
  A Python 3 package for state-of-the-art statistical dimension reduction methods
  ☆40Updated 9 months ago
• alan-turing-institute / bocpdms
  ☆32Updated 6 years ago
• andruekonst / egbm-gam
  A straightforward implementation of EGBM-based Generalized Additive Model
  ☆13Updated 4 years ago
• HMProenca / RuleList
  ☆15Updated 3 years ago
• guillermo-navas-palencia / ropwr
  Robust piecewise regression
  ☆12Updated 4 months ago
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆21Updated 3 years ago
• BayerSe / l1qr
  Lasso Quantile Regression
  ☆29Updated 5 years ago
• alan-turing-institute / xpandas
  Universal 1d/2d data containers with Transformers functionality for data analysis.
  ☆26Updated 2 years ago
• Rohithram / Self-Organizing-Maps-using-KNN
  High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neu…
  ☆11Updated 6 years ago