zhegan27 / dsbn_aistats2015

Related projects: ⓘ

• GabrielPereyra / norm-rnn
  ☆30Updated this week
• zhegan27 / dpfa_icml2015
  The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
  ☆19Updated 9 years ago
• clinicalml / dgm
  Deep Generative Model (Torch)
  ☆11Updated 8 years ago
• zhenxuan00 / mmdgm
  Code of "Max-margin Deep Generative Models" (NIPS15)
  ☆18Updated 8 years ago
• kamperh / couscous
  Siamese neural networks for representation learning using Theano.
  ☆22Updated 8 years ago
• gngdb / variational-dropout
  Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.
  ☆33Updated 6 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 7 years ago
• jbornschein / reweighted-ws
  Implementation of the reweighted wake-sleep machine learning algorithm
  ☆41Updated 8 years ago
• y0ast / VIMCO
  Implementation of "Variational Inference for Monte Carlo Objectives"
  ☆21Updated 4 years ago
• ChunyuanLI / pSGLD
  AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
  ☆35Updated 6 years ago
• clementfarabet / lua---mattorch
  An interface between Torch and Matlab
  ☆31Updated 9 years ago
• karlstratos / cca
  ☆10Updated 10 years ago
• yaoli / nade_k
  An iterative neural autoregressive distribution estimator (NADE-K)
  ☆26Updated 9 years ago
• earcher / nvil_example
  ☆20Updated this week
• stwisdom / urnn
  Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
  ☆55Updated 7 years ago
• ifp-uiuc / an-analysis-of-unsupervised-pre-training-iclr-2015
  Experiment files for the paper "An Analysis of Unsupervised Pre-training in Light of Recent Advances", available here: http://arxiv.org/a…
  ☆18Updated 8 years ago
• bheinzerling / ran
  A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)
  ☆29Updated 6 years ago
• zihangdai / cegan_iclr2017
  Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"
  ☆23Updated 6 years ago
• arahuja / generative-tf
  Generative Models with TensorFlow
  ☆32Updated 8 years ago
• mdenil / acdc-torch
  ACDC: A Structured Efficient Linear Layer
  ☆42Updated 8 years ago
• jiweil / Sequence-Models-on-Stanford-Treebank
  ☆24Updated 8 years ago
• ExpectationBackpropagation / EBP_Matlab_Code
  ☆11Updated 9 years ago
• shreyassaxena / convolutional-neural-fabrics
  Architecture learning for CNN's
  ☆37Updated 7 years ago
• ml-lab / auxiliary-deep-generative-models
  Implementation of auxiliary deep generative models for semi-supervised learning
  ☆28Updated 8 years ago
• SkTim / bdfa-torch
  Training neural networks with back-prop, feedback-alignment and direct feedback-alignment
  ☆11Updated 7 years ago
• lucastheis / ride
  Code for the recurrent image density estimator
  ☆28Updated 8 years ago
• Philip-Bachman / MatNets-NIPS
  Repo for code for the NIPS paper entitled "An Architecture for Deep, Hierarchical Generative Models"
  ☆14Updated 7 years ago
• diogo149 / theano_fractional_max_pooling
  Fractional Max Pooling implementation in Theano
  ☆21Updated 8 years ago
• jbornschein / bihm
  Bidirectional Helmholtz Machines
  ☆41Updated 8 years ago
• veugene / spectre_release
  Analyzing deviation from orthogonality in RNNs
  ☆16Updated 6 years ago