laurimi / ddcrp-gibbs

Related projects ⓘ

Alternatives and complementary repositories for ddcrp-gibbs

• muupan / deep-ensemble-uncertainty
  An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)
  ☆34Updated 7 years ago
• saurabhme / discriminative-patches
  Unsupervised Discovery of Mid-Level Discriminative Patches
  ☆57Updated 11 years ago
• SkidanovAlex / ShallowNeuralDecisionForest
  Implementation of Deep Neural Decision Forest based on MSR paper
  ☆29Updated 8 years ago
• YixuanLi / convergent_learning
  Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
  ☆85Updated 8 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 7 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 8 years ago
• jhseu / nca
  Neighborhood Components Analysis in C++
  ☆38Updated 14 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆108Updated 7 years ago
• aboulch / sharesnet
  ShaResNet: reducing residual network parameter number by sharing weights
  ☆32Updated 7 years ago
• rbgirshick / DeepPyramid
  Deep feature pyramids for various computer vision algorithms (DPMs, pyramid R-CNN, etc.)
  ☆128Updated 7 years ago
• Unbabel / sparsemax
  ☆9Updated 8 years ago
• ucla-vision / parle
  ☆38Updated 6 years ago
• jhjacobsen / HierarchicalCNN
  ☆29Updated 6 years ago
• gyglim / dvn
  Reference implementation for Structured Prediction with Deep Value Networks
  ☆55Updated 7 years ago
• zhegan27 / dpfa_icml2015
  The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
  ☆19Updated 9 years ago
• emtiyaz / vmp-for-svae
  Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)
  ☆44Updated 6 years ago
• javiergonzalezh / dpp
  Python package to sample from determinantal point processes
  ☆18Updated 9 years ago
• clementfarabet / lua---mattorch
  An interface between Torch and Matlab
  ☆31Updated 9 years ago
• RuiShu / tensorflow-gp
  Implementation of gaussian processes and bayesian optimization in tensorflow
  ☆11Updated 8 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 10 years ago
• npinto / asgd
  Averaged Stochastic Gradient Descent Classifiers
  ☆41Updated 12 years ago
• BarclayII / tracking-with-rnn
  First step towards...
  ☆33Updated 8 years ago
• rmgarnett / active_learning
  Active learning toolbox for MATLAB
  ☆46Updated 7 years ago
• y0ast / VIMCO
  Implementation of "Variational Inference for Monte Carlo Objectives"
  ☆21Updated 4 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆65Updated 7 years ago
• blei-lab / ctm-c
  This implements variational inference for the correlated topic model.
  ☆21Updated 10 years ago
• trevorcampbell / dynamic-means
  A clustering library for large/temporally evolving datasets
  ☆48Updated 7 years ago
• alshedivat / DeterminantalPointProcesses.jl
  Determinantal Point Processes in Julia
  ☆12Updated 4 years ago
• maga33 / TransferNet
  A Caffe implementation of http://arxiv.org/abs/1512.07928
  ☆40Updated 8 years ago