Alternatives and similar repositories for hht

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

• oneoffcoder / iaia-mario
  deep learning using darkflow and darknet to detect mario
  ☆10Updated 5 years ago
• vangj / spark-bbn
  A Spark API for learning Bayesian Belief Networks.
  ☆10Updated 7 years ago
• oneoffcoder / pyspark-formula
  R-like formula approach to Spark Dataframes
  ☆10Updated 5 years ago
• oneoffcoder / lightning-projects
  A repository of "Lightning Projects" that children may used to learn the fundamentals of coding in a fun, enjoyable yet effective way.
  ☆15Updated 3 years ago
• oneoffcoder / py-pair
  Pairwise association measures of statistical variable types
  ☆21Updated 3 years ago
• oneoffcoder / docker-containers
  A collection of pedantic docker containers.
  ☆30Updated 9 months ago
• vangj / spark-svm
  A project demonstrating how to use subgradient descent (SGD) to learn the maximum-margin hyper-plane of support vector machine (SVM).
  ☆10Updated 7 years ago
• vangj / py-bbn
  Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling
  ☆56Updated 4 months ago
• oneoffcoder / books
  A collection of online books for data science, computer science and coding!
  ☆79Updated last year
• amidst / toolbox
  A Java Toolbox for Scalable Probabilistic Machine Learning
  ☆122Updated 2 years ago
• konstantint / SKompiler
  A tool for compiling trained SKLearn models into other representations (such as SQL, Sympy or Excel formulas)
  ☆176Updated 3 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆205Updated 5 years ago
• navicto / Discretization-MDLPC
  Discretization with Fayyad and Irani's minimum description length principle criterion (MDLPC)
  ☆60Updated 7 years ago
• argmaxml / conjugate_prior
  Implementation of the conjugate prior table for Bayesian Statistics
  ☆52Updated last year
• ronikobrosly / causal-curve
  A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
  ☆281Updated this week
• hlin117 / mdlp-discretization
  An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
  ☆104Updated 2 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 years ago
• dionresearch / hotelling
  Hotelling implements one and two sample Hotelling T2 tests, T2 and f statistics and univariate and multivariate control charts and anomal…
  ☆17Updated 3 years ago
• scikit-learn-contrib / scikit-learn-contrib
  scikit-learn compatible projects
  ☆408Updated 9 months ago
• BorgwardtLab / PyChange
  Multiple change detection with python
  ☆23Updated 6 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆126Updated 7 months ago
• paypal / autosklearn-zeroconf
  autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset w…
  ☆171Updated 6 years ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆352Updated 2 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆141Updated 5 years ago
• alteryx / autonormalize
  python library for automated dataset normalization
  ☆117Updated 2 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 3 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆229Updated 4 years ago
• MaxHalford / starboost
  Gradient boosting on steroids
  ☆28Updated last year
• danielenricocahall / elephas
  Distributed Deep learning with Keras & Spark
  ☆21Updated 3 months ago