Alternatives and similar repositories for dynamic-means

Users that are interested in dynamic-means are comparing it to the libraries listed below

• muupan / deep-ensemble-uncertainty
  An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)
  ☆34Updated 8 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• yunjhongwu / Sticky-HDPHMM-demo
  Sticky hierarchical Dirichlet process hidden Markov model for time series denoising
  ☆48Updated 8 years ago
• jacobeisenstein / DPMM
  Dirichlet process mixture model code in Matlab. Sampling and variational.
  ☆71Updated 12 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆66Updated 7 years ago
• wojzaremba / trpo_rnn
  ☆20Updated 9 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago
• premgopalan / bnprec
  Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…
  ☆15Updated 10 years ago
• rdlester / pyfac
  Python implementation of Sum-Product for Factor Graphs
  ☆44Updated 9 years ago
• yaolubrain / DOSNES
  Doubly Stochastic Neighbor Embedding on Spheres
  ☆59Updated 5 years ago
• ssydasheng / GPflow-Slim
  customized GPflow with simple Tensorflow API
  ☆17Updated 5 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 10 years ago
• allenai / forces
  ☆14Updated 8 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆37Updated last year
• oir / soft-tree
  Soft Decision Trees (code for ICPR 21 paper)
  ☆32Updated 11 years ago
• DanielTakeshi / MCMC_and_Dynamics
  Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)
  ☆42Updated 5 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• BerkeleyAutomation / tsc-dl
  Visual Transition State Clustering
  ☆13Updated 7 years ago
• guojiyao / deep_fcn
  ☆16Updated 8 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 9 years ago
• yenchanghsu / NNclustering
  The demo code for "Neural network-based clustering using pairwise constraints" (http://arxiv.org/abs/1511.06321)
  ☆72Updated 6 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• teodor-moldovan / dpcluster
  Efficient Dirichlet process clustering
  ☆26Updated 12 years ago
• rll / deeprlhw2
  ☆24Updated 9 years ago
• yaringal / DropoutUncertaintyDemos
  What My Deep Model Doesn't Know...
  ☆117Updated 9 years ago
• jhseu / nca
  Neighborhood Components Analysis in C++
  ☆38Updated 15 years ago
• dswah / sgcrfpy
  SGCRFpy: Sparse Gaussian Conditional Random Fields in Python
  ☆29Updated 8 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• afriesen / rdis
  C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.
  ☆57Updated 9 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated 3 weeks ago