chlubba / op_importance

Related projects ⓘ

Alternatives and complementary repositories for op_importance

• benfulcher / hctsa_python
  Initial attempt to incorporate some time-series analysis features from hctsa into python land
  ☆27Updated 8 years ago
• benfulcher / TimeSeriesGeneration
  Generating time series from a range of dynamical systems
  ☆17Updated 2 years ago
• fairscape / hctsa-py
  ☆13Updated 3 years ago
• neuralprophet / neural_prophet_lightning
  ☆9Updated 3 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• alan-turing-institute / xpandas
  Universal 1d/2d data containers with Transformers functionality for data analysis.
  ☆26Updated 2 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• modusdatascience / glm-sklearn
  Some scikit-learn-esque wrappers for statsmodels GLM
  ☆23Updated 11 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆43Updated 5 years ago
• tblume1992 / BetaBoost
  A small wrapper to do Beta Boosting with XgBoost
  ☆15Updated 3 years ago
• taposh / forecast
  Forecasting library in python
  ☆13Updated 5 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 6 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆36Updated 3 years ago
• BouchardLab / pyuoi
  The Union of Intersections Framework in Python
  ☆13Updated last year
• hendersontrent / feature-set-comp
  Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.
  ☆11Updated 2 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆27Updated 4 years ago
• tansey / functionalmf
  Functional matrix factorization via Bayesian tensor filtering
  ☆13Updated last year
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆13Updated 8 years ago
• sweichwald / coroICA-python
  ☆10Updated 3 years ago
• dmfolgado / tam
  Time Alignment Measurement for Time Series
  ☆29Updated 2 years ago
• ig248 / deepquantiles
  Deep Continuous Quantile Regression and other experiments.
  ☆12Updated 4 years ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆26Updated 3 years ago
• ag-ds-bubble / tseuler
  A library for Time-Series exploration, analysis & modelling.
  ☆17Updated 3 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 7 years ago
• binhmop / tsbitmaps
  Time-series Bitmap model for anomaly detection
  ☆16Updated 7 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
• 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 last year