Alternatives and similar repositories for PythonBRMLtoolbox

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

• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆62Updated 8 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 4 years ago
• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆48Updated last year
• jameshensman / VFF
  Variational Fourier Features
  ☆85Updated 4 years ago
• mwestt / An-Introduction-to-Bayesian-Inference-in-PyStan
  Code for blog post on Bayesian inference in PyStan
  ☆20Updated 4 years ago
• balajiln / pgbart
  Particle Gibbs for Bayesian Additive Regression Trees
  ☆33Updated 10 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• pmorenoz / HierCPD
  Hierarchical Change-Point Detection
  ☆14Updated 6 years ago
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 7 years ago
• fonnesbeck / gp_tutorial_pydata
  PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
  ☆15Updated 7 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated 2 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆95Updated 2 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆27Updated 5 years ago
• LucaAmbrogioni / Brancher
  A python library for stochastic variational inference and differentiable probabilistic programming
  ☆33Updated 6 years ago
• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 9 years ago
• clinicalml / dmm
  Deep Markov Models
  ☆133Updated 6 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 6 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆26Updated 5 years ago
• PGM-Lab / probabilisticAI_tutorials
  Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2019 (https://2019.probabilistic.ai/)
  ☆20Updated 6 years ago
• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆63Updated 8 years ago
• Roth-Lab / pgsm
  ☆12Updated 4 months ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆103Updated 6 years ago
• chrisdxie / in-depth-VI-tutorial
  ☆11Updated 9 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 6 years ago
• fonnesbeck / PyMC3_DataScienceLA
  PyMC3 tutorial for DataScience LA (January 2017)
  ☆67Updated 7 years ago
• gregversteeg / LinearCorex
  Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…
  ☆43Updated 4 years ago
• BGU-CS-VIL / dtan
  Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available…
  ☆68Updated 9 months ago