Alternatives and similar repositories for mlss2015_bnp_tutorial

Users that are interested in mlss2015_bnp_tutorial are comparing it to the libraries listed below

• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 9 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 7 years ago
• DeepLearningDTU / Summerschool_2015
  Deep Learning DTU summer school 2015
  ☆23Updated 9 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 9 years ago
• tbroderick / bnp_tutorial
  ☆30Updated 8 years ago
• tbroderick / streaming_vb
  This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…
  ☆41Updated 11 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 8 years ago
• edwardlib / papers
  Edward content including papers, posters, and talks
  ☆92Updated 5 years ago
• aschein / bptd
  Bayesian Poisson Tucker decomposition
  ☆17Updated 8 years ago
• cornelltech / snack
  Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings
  ☆51Updated 2 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 7 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 11 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 7 months ago
• blei-lab / deep-exponential-families
  Deep exponential families (DEFs)
  ☆55Updated 7 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆41Updated 8 years ago
• tansey / vsmrfs
  Vector-Space Markov Random Fields
  ☆21Updated 10 years ago
• rgrosse / compositional_structure_search
  ☆46Updated 12 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆42Updated 10 months ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆83Updated 8 years ago
• yaolubrain / DOSNES
  Doubly Stochastic Neighbor Embedding on Spheres
  ☆60Updated 6 years ago
• powerscorinne / GLRM
  ☆99Updated 7 years ago
• yoshua / dl-nature-review
  review of Deep Learning for Nature
  ☆32Updated 10 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 6 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 7 years ago
• napsternxg / ipython-notebooks
  Some iPython Notebooks I have created for personal learning
  ☆65Updated last year
• craffel / Lasagne-tutorial
  Adding an ipynb tutorial to Lasagne
  ☆53Updated 8 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆73Updated 9 years ago