Alternatives and similar repositories for datasmash

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

• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• ebonilla / AutoGP
  Code for AutoGP
  ☆27Updated 6 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆43Updated 5 years ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 5 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆27Updated 5 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• charlesmartin14 / emf-rbm
  Extended Mean Field Restricted Boltzmann Machine
  ☆16Updated 8 years ago
• robince / pyentropy
  Information Theoretic Tools for Python
  ☆95Updated 6 years ago
• rosinality / knotter
  Implementation of Mapper algorithm for Topological Data Analysis
  ☆46Updated 5 years ago
• Roth-Lab / pgsm
  ☆12Updated 8 months ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆34Updated 6 years ago
• gregversteeg / gaussianize
  Transforms univariate data into normally distributed data
  ☆77Updated 3 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 4 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆36Updated 4 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆87Updated 4 years ago
• coreylynch / sklearn-transform
  Collection of scripts for doing common transformations in machine learning
  ☆21Updated 13 years ago
• bhmm / bhmm
  Bayesian hidden Markov models toolkit
  ☆47Updated 5 years ago
• lendle / SuPyLearner
  An implementation of the SuperLearner algorithm in Python based on scikit-learn.
  ☆25Updated 11 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆43Updated 6 years ago
• mdp-toolkit / mdp-toolkit
  Official Source-Code of the Modular toolkit for Data Processing (MDP)
  ☆92Updated last year
• TaddyLab / bayesian-forest
  ☆31Updated 9 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆34Updated 10 years ago
• compops / gpo-smc-abc
  Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
  ☆13Updated 8 years ago
• lmc2179 / bayesian_bootstrap
  bayesian bootstrapping in python
  ☆123Updated 3 years ago
• jeroenjanssens / scikit-sos
  A Python implementation of the Stochastic Outlier Selection algorithm
  ☆92Updated last year
• cyianor / smc2017
  Collected code and materials from the intensive course preparing for the workshop on Sequential Monte Carlo (SMC) methods at Uppsala Univ…
  ☆22Updated 7 years ago
• dsrobertson / onlineFDR
  Clone of the Bioconductor repository for the onlineFDR package. See https://bioconductor.org/packages/devel/bioc/html/onlineFDR.html for …
  ☆14Updated 6 months ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 10 years ago