Alternatives and similar repositories for dynamic-means:

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

• jstraub / dpMMlowVar
  Bayesian nonparametric small-variance asymptotic clustering algorithms
  ☆20Updated 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
• HUJI-Deep / Generative-ConvACs
  Experiments from the article "Tensorial Mixture Models"
  ☆25Updated 7 years ago
• 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
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 9 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 8 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 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
• Unbabel / sparsemax
  ☆9Updated 8 years ago
• wojzaremba / trpo_rnn
  ☆20Updated 8 years ago
• yaolubrain / DOSNES
  Doubly Stochastic Neighbor Embedding on Spheres
  ☆59Updated 5 years ago
• jluttine / variational-bayes-book
  Open access book on variational Bayesian methods written collaboratively
  ☆28Updated 10 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 7 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆38Updated 7 years ago
• bshahr / torch-dngo
  Torch implementation of the Deep Network for Global Optimization (DNGO)
  ☆51Updated 8 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• jaanli / deep-exponential-families-gluon
  Deep exponential family models in MXNet/Gluon. Layers o' latents 💤
  ☆17Updated 7 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 5 years ago
• npinto / asgd
  Averaged Stochastic Gradient Descent Classifiers
  ☆42Updated 12 years ago
• Qwlouse / Binding
  Code for the "Binding via Reconstruction Clustering" paper
  ☆21Updated 9 years ago
• madratman / research_resources
  A repo containing links of various tutorials, courses, and papers I've read at some point of time.
  ☆7Updated 7 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
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• jhseu / nca
  Neighborhood Components Analysis in C++
  ☆38Updated 15 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 9 years ago
• brendenlake / structural-sparsity
  Structure learning for sparse graphs with latent variables
  ☆45Updated 8 years ago
• oir / soft-tree
  Soft Decision Trees (code for ICPR 21 paper)
  ☆32Updated 11 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• yoshua / dl-nature-review
  review of Deep Learning for Nature
  ☆31Updated 9 years ago