Alternatives and similar repositories for samcnet

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

• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 7 years ago
• jameshensman / GPclust
  Clustering time series using Gaussian processes and Variational Bayes.
  ☆39Updated 5 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆83Updated 8 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆69Updated 8 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 4 months ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• arthurmensch / modl
  Randomized online matrix factorization
  ☆140Updated 5 years ago
• dawenl / stochastic_PMF
  Poisson matrix factorization and autotagger
  ☆43Updated 10 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago
• aatapa / RLScore
  ☆68Updated last year
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 9 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 6 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆41Updated 7 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆169Updated 2 years ago
• mattjj / pybasicbayes
  ☆155Updated 6 years ago
• drckf / paysage
  Unsupervised learning and generative models in python/pytorch.
  ☆119Updated 2 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 11 years ago
• mblondel / spira
  Recommender systems in Python
  ☆50Updated 10 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆85Updated 4 years ago
• napsternxg / ipython-notebooks
  Some iPython Notebooks I have created for personal learning
  ☆65Updated last year
• SheffieldML / GPclust
  Collapsed Variational Bayes
  ☆72Updated 6 years ago
• maxsklar / BayesPy
  Bayesian Inference Tools in Python
  ☆109Updated 2 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• jmetzen / sparse-filtering
  Unsupervised feature learning based on sparse-filtering
  ☆55Updated 11 years ago
• stepelu / ptstat
  Probabilistic Programming and Statistical Inference in PyTorch
  ☆111Updated 8 years ago