Alternatives and similar repositories for modality_tests

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

• Rose-STL-Lab / torchTS
  Time series forecasting with PyTorch
  ☆86Updated last week
• rileypsmith / sklearn-som
  A simple, rectangular self-organizing map with methods similar to clustering methods in Scikit Learn.
  ☆81Updated 3 years ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆158Updated 3 weeks ago
• olivertomic / hoggorm
  Explorative multivariate statistics in Python
  ☆79Updated 4 years ago
• ireis / PRF
  Probabilistic Random Forest: A machine learning algorithm for noisy datasets
  ☆130Updated 2 years ago
• sbailey / empca
  Principal Component Analysis (PCA) for Missing and/or Noisy Data
  ☆83Updated 9 years ago
• UBC-MDS / RegscorePy
  This is the repo for a python package that does model comparison between different regression models.
  ☆22Updated 7 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 7 years ago
• dunnkers / fseval
  Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
  ☆19Updated 2 years ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆143Updated last year
• theevann / dl4sci-pytorch-webinar
  ☆56Updated 5 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 5 months ago
• jxx123 / fireTS
  A python multi-variate time series prediction library working with sklearn
  ☆99Updated 5 years ago
• InvestmentSystems / recombinator
  Recombinator is a Python package for statistical resampling in Python. It provides various algorithms for the iid bootstrap, the block bo…
  ☆50Updated 2 years ago
• jakevdp / wpca
  Weighted Principal Component Analysis (PCA) in Python
  ☆160Updated 8 years ago
• drazenz / heatmaps
  Better heatmaps in Python
  ☆137Updated 4 years ago
• eserie / wax-ml
  A Python library for machine-learning and feedback loops on streaming data
  ☆64Updated 2 years ago
• ELIFE-ASU / PyInform
  A Python Wrapper for the Inform Information Analysis Library
  ☆56Updated 6 years ago
• isadoranun / FATS
  ☆75Updated 2 years ago
• kikocorreoso / scikit-extremes
  scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
  ☆42Updated 3 years ago
• tee-lab / PyDaddy
  Python package to discover stochastic differential equations from time series data
  ☆99Updated last year
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆55Updated last month
• SvenSerneels / direpack
  A Python 3 package for state-of-the-art statistical dimension reduction methods
  ☆42Updated 3 weeks ago
• sdpython / mlinsights
  Extends scikit-learn with new models, transformers, metrics, plotting.
  ☆73Updated 3 weeks ago
• andrewcharlesjones / plottify
  A simple matplotlib wrapper that automatically scales font sizes, scatter point sizes, and line widths to be proportional to figure size.
  ☆109Updated 4 years ago
• csinva / data-viz-utils
  Functions for easily making publication-quality figures with matplotlib.
  ☆19Updated 2 years ago
• jakobrunge / tigramite_old
  Tigramite is a time series analysis python module for linear and information-theoretic causal inference. Version 3.0 described in http://…
  ☆33Updated 8 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• bgroenks96 / normalizing-flows
  Implementations of normalizing flows using python and tensorflow
  ☆24Updated last year
• vlivashkin / GPUParallel
  Joblib-like interface for parallel GPU computations (e.g. data preprocessing)
  ☆32Updated last year