Alternatives and similar repositories for Hidden-Markov-Models-pymc3

Users that are interested in Hidden-Markov-Models-pymc3 are comparing it to the libraries listed below

• hstrey / Ornstein-Uhlenbeck-Bayesian

  View on GitHub
  ☆18May 7, 2020Updated 5 years ago
• junpenglao / Bayesian_Smoothing_EyeMovement

  View on GitHub
  Repository of my talk for Bayes@Lund 2017
  ☆10Oct 4, 2017Updated 8 years ago
• jdtuck / ElasticFDA.jl

  View on GitHub
  Functional Data Analysis using Square-Root Slope Framework
  ☆10Oct 26, 2020Updated 5 years ago
• ColCarroll / ppl-api

  View on GitHub
  A comparison of PPL APIs
  ☆27Jul 23, 2019Updated 6 years ago
• canyon289 / bayesian-model-evaluation

  View on GitHub
  Presented at Scipy Conference 2019
  ☆128Mar 22, 2020Updated 5 years ago
• moocarme / pydata_2018

  View on GitHub
  Repo for PyData 2018 tuorial
  ☆12Oct 18, 2018Updated 7 years ago
• tmills / ihmm

  View on GitHub
  A fork of Jurgen Vangael's Infinite HMM matlab code
  ☆12Mar 14, 2014Updated 11 years ago
• Knewton / lentil

  View on GitHub
  An implementation of the Latent Skill Embedding model
  ☆10Feb 19, 2016Updated 9 years ago
• luke14free / pm-prophet

  View on GitHub
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆326Oct 2, 2020Updated 5 years ago
• cbonnett / MDN_Edward_Keras_TF

  View on GitHub
  ☆13Jul 3, 2016Updated 9 years ago
• equinn1 / MTH225_Spring2016

  View on GitHub
  MTH225 Statistics for Science Spring 2016
  ☆12May 13, 2016Updated 9 years ago
• ericmjl / fundl

  View on GitHub
  A pedagogical, functional-oriented deep learning library built on top of jax.
  ☆15Jul 19, 2021Updated 4 years ago
• kristinbranson / BABAM

  View on GitHub
  The Browsable Atlas of Behavior-Anatomy Maps (BABAM) is a GUI for exploring hypotheses of correlations between neural activity in regions…
  ☆13May 17, 2023Updated 2 years ago
• anfibil / cse40647.sp14

  View on GitHub
  ☆20Nov 6, 2014Updated 11 years ago
• catalystneuro / roiextractors

  View on GitHub
  Python-based module for extracting from, converting between, and handling optical imaging data from several file formats. Inspired by Spi…
  ☆15Updated this week
• paul-buerkner / custom-brms-families

  View on GitHub
  R scripts for custom brms families
  ☆14Jul 12, 2024Updated last year
• mattjj / pybasicbayes

  View on GitHub
  ☆156Sep 1, 2019Updated 6 years ago
• jonsedar / pymc3_vs_pystan

  View on GitHub
  Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…
  ☆127May 22, 2016Updated 9 years ago
• dismalpy / dismalpy

  View on GitHub
  A collection of resources for quantitative economics in Python
  ☆13Jan 29, 2017Updated 9 years ago
• ayakubovich / EM

  View on GitHub
  Getting started with the Expectation Maximization algorithm, Mixture Models and Hidden Markov Models
  ☆18Apr 19, 2015Updated 10 years ago
• convnets-as-gps / convnets-as-gps

  View on GitHub
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆16Jun 21, 2019Updated 6 years ago
• AMLab-Amsterdam / SEVDL_MGP

  View on GitHub
  Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…
  ☆30Jul 17, 2020Updated 5 years ago
• aslakey / CBM_Encoding

  View on GitHub
  CBM Encoding
  ☆19Mar 20, 2021Updated 4 years ago
• glamlab / glambox

  View on GitHub
  A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
  ☆17Jul 6, 2023Updated 2 years ago
• yandexdataschool / mlhep2015

  View on GitHub
  MLHEP 2015 materials (http://hse.ru/mlhep2015)
  ☆19Sep 5, 2015Updated 10 years ago
• croquelois / BlackScholesMC-TF

  View on GitHub
  BlackScholes Model, with Montecarlo implmented in python with TensorFlow
  ☆17Jan 5, 2016Updated 10 years ago
• pymc-learn / pymc-learn

  View on GitHub
  pymc-learn: Practical probabilistic machine learning in Python
  ☆232Jan 24, 2021Updated 5 years ago
• maciejkula / binge

  View on GitHub
  Recommendation models that use binary rather than floating point operations at prediction time.
  ☆20Sep 18, 2017Updated 8 years ago
• dandi / dandi-cli

  View on GitHub
  DANDI command line client to facilitate common operations
  ☆24Updated this week
• malmgrek / gammy

  View on GitHub
  Generalized additive models in Python with a Bayesian twist
  ☆78Aug 20, 2025Updated 5 months ago
• hddm-devs / hddm

  View on GitHub
  HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
  ☆298Apr 14, 2024Updated last year
• didriknielsen / ds3_abi_exercises

  View on GitHub
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Aug 6, 2018Updated 7 years ago
• bsharchilev / RobustPCA

  View on GitHub
  ☆20Apr 14, 2017Updated 8 years ago
• Artash-N / Ariel-Machine-Learning-Training-Module-for-Exoplanets

  View on GitHub
  Create your Machine Learning Neural Network to reduce the noise in exoplanet observations. (Ariel Telescope Data Simulation)
  ☆19Jan 13, 2020Updated 6 years ago
• IDA-HumanCapital / fife

  View on GitHub
  Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
  ☆22Mar 6, 2024Updated last year
• MBrouns / timeseers

  View on GitHub
  Time should be taken seer-iously
  ☆320Mar 17, 2023Updated 2 years ago
• fonnesbeck / bayes_tutorial_2019

  View on GitHub
  Introductory overview of Bayesian inference
  ☆43Apr 16, 2019Updated 6 years ago
• RJT1990 / Active-Portfolio-Management-Notes

  View on GitHub
  Notes for Active Portfolio Management, by Grinold and Kahn
  ☆47May 17, 2016Updated 9 years ago
• xnd-project / libgumath

  View on GitHub
  Subsumed into xnd
  ☆25Aug 30, 2023Updated 2 years ago