Alternatives and similar repositories for op_importance:

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

• benfulcher / hctsa_python
  Initial attempt to incorporate some time-series analysis features from hctsa into python land
  ☆27Updated 9 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 8 years 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
• ag-ds-bubble / tseuler
  A library for Time-Series exploration, analysis & modelling.
  ☆17Updated 4 years ago
• benfulcher / TimeSeriesGeneration
  Generating time series from a range of dynamical systems
  ☆17Updated 2 years ago
• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆26Updated 4 years ago
• johannfaouzi / pyts-repro
  A repository to compare the performance between the algorithms implemented in pyts and the performance reported in the literature
  ☆18Updated last year
• tblume1992 / BetaBoost
  A small wrapper to do Beta Boosting with XgBoost
  ☆15Updated 3 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• DidierRLopes / timeseries-cv
  Time-Series Cross-Validation Module
  ☆44Updated 3 years ago
• rtavenar / keras_shapelets
  Efficient implementation of Learning Time-Series Shapelets using keras
  ☆25Updated 7 years ago
• wwrechard / pydlm-lite
  The lite version of the package pydlm. A lite yet powerful Bayesian dynamic modeling library
  ☆12Updated 6 years ago
• vcerqueira / vest
  Automatic Feature Engineering for Time Series
  ☆17Updated 2 years ago
• blue-yonder / pydse
  Python package for dynamic system estimation of time series
  ☆40Updated 4 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• alan-turing-institute / xpandas
  Universal 1d/2d data containers with Transformers functionality for data analysis.
  ☆26Updated 2 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 3 years ago
• BouchardLab / pyuoi
  The Union of Intersections Framework in Python
  ☆14Updated this week
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• esdalmaijer / cluster_power
  Code and data for a simulation project aimed at computing statistical power for various dimensionality reduction and clustering algorithm…
  ☆13Updated 5 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆42Updated 6 years ago
• dbenielli / scikit-multimodallearn
  This Python package implements algorithms for multiviews (multimodals) learning
  ☆14Updated 7 months ago
• modusdatascience / glm-sklearn
  Some scikit-learn-esque wrappers for statsmodels GLM
  ☆23Updated 11 years ago
• kxytechnologies / kxy-python
  A toolkit to boost the productivity of machine learning engineers.
  ☆52Updated 2 years ago
• carefree0910 / carefree-data
  A data processing module implemented with numpy
  ☆10Updated 2 years ago
• sktime / mlaut
  ☆24Updated 5 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• fairscape / hctsa-py
  ☆14Updated 4 years ago
• IDA-HumanCapital / fife
  Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
  ☆22Updated last year