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
  ☆28Updated 9 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆27Updated 5 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆43Updated 6 years ago
• blue-yonder / pydse
  Python package for dynamic system estimation of time series
  ☆40Updated 5 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 3 years ago
• fraunhoferportugal / tssearch
  A Python library for time series subsequence search.
  ☆48Updated last year
• sktime / pysf
  Supervised forecasting of sequential data in Python.
  ☆55Updated 6 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
• alexfields / multiisotonic
  Multidimensional isotonic regression
  ☆28Updated 8 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 4 years ago
• matrix-profile-foundation / mass-ts
  MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z…
  ☆104Updated 2 years ago
• wwrechard / pydlm-lite
  The lite version of the package pydlm. A lite yet powerful Bayesian dynamic modeling library
  ☆12Updated 7 years ago
• fairscape / hctsa-py
  ☆14Updated 4 years ago
• shapelets / khiva-python
  Python binding for Khiva library.
  ☆47Updated last year
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆43Updated last week
• ryanholbrook / critical-transitions
  Detecting critical transitions in financial networks with topological data analysis.
  ☆16Updated 6 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• tblume1992 / BetaBoost
  A small wrapper to do Beta Boosting with XgBoost
  ☆15Updated 3 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 5 years ago
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 9 years ago
• lightonai / newma
  Implementation of NEWMA: a new method for scalable model-free online change-point detection
  ☆46Updated 5 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated 6 years ago
• leanderloew / ES-RNN-Pytorch
  This is a work in progress Pytorch implementation of the recently proposed ES-RNN by Slawek Smyl, winner of the M4 competition
  ☆12Updated 6 years ago
• sky-uk / anticipy
  A Python library for time series forecasting
  ☆82Updated 4 months ago
• steve98654 / PyTalk
  Files for Python Talk
  ☆24Updated 9 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 10 years ago
• fastai / fastforest
  A forest that is fast
  ☆41Updated 6 years ago
• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆27Updated 5 years ago