Alternatives and similar repositories for vi_vae_gmm

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

• vsuriya93 / Deep-Learning-for-Graph-Representations
  This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request
  ☆33Updated 8 years ago
• blei-lab / ctm-c
  This implements variational inference for the correlated topic model.
  ☆21Updated 11 years ago
• facebookresearch / DeepConvexity
  Easing non-convex optimization with neural networks.
  ☆23Updated 7 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 8 years ago
• JACKHAHA363 / VQVAE
  a replicate of https://arxiv.org/pdf/1711.00937.pdf
  ☆16Updated 8 years ago
• TENGBINN / Bayes-by-Backprop
  TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
  ☆51Updated 6 years ago
• ermongroup / bgm
  Code for "Boosted Generative Models", AAAI 2018.
  ☆20Updated 7 years ago
• benathi / density-order-emb
  Density Order Embeddings
  ☆33Updated 6 years ago
• demelin / Noise-Contrastive-Estimation-NCE-for-pyTorch
  Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…
  ☆44Updated 6 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• c0nn3r / pytorch_highway_networks
  Highway networks implemented in PyTorch.
  ☆55Updated 8 years ago
• gaohuang / S-WMD
  Code for Supervised Word Mover's Distance (SWMD)
  ☆92Updated 7 years ago
• nlml / tsne_raw
  Implementation of Symmetric SNE and t-SNE in numpy and python
  ☆75Updated 4 years ago
• fraenkel-lab / GSLR
  An algorithm for classification from a graph-sparse support
  ☆15Updated 6 years ago
• Philip-Bachman / Pseudo-Ensembles
  Materials for implementing and reproducing results in the NIPS paper.
  ☆23Updated 11 years ago
• ishalyminov / babi_tools
  Augmentation scripts for the bAbI Dialog Tasks dataset
  ☆13Updated 7 years ago
• wlwkgus / GibbsNet
  Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch
  ☆57Updated 7 years ago
• titu1994 / keras-minimal-rnn
  Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks
  ☆18Updated 7 years ago
• kondiz / fraternal-dropout
  ☆63Updated 8 years ago
• limbo018 / FRU
  ☆40Updated 7 years ago
• MOhammedJAbi / SoftKMeans
  Implementation of Deep Soft-K means
  ☆29Updated 4 years ago
• bobchennan / VAE_NBP
  Variational Auto-encoder with Non-parametric Bayesian Prior
  ☆43Updated 8 years ago
• santi-pdp / quasi-rnn
  Quasi-RNN for language modeling
  ☆57Updated 8 years ago
• zhenxuan00 / mmdgm
  Code of "Max-margin Deep Generative Models" (NIPS15)
  ☆18Updated 10 years ago
• fducau / infoVAE
  ☆16Updated 8 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆35Updated 8 years ago
• frkl / active-learning
  Active learning for deep learning
  ☆19Updated 7 years ago
• jramapuram / LifelongVAE
  Lifelong Variational Autoencoder
  ☆15Updated 7 years ago
• RuiShu / tensorbayes
  Deep variational inference in tensorflow
  ☆57Updated 7 years ago
• augboost-anon / augboost
  Gradient Boosting Enhanced with Step-Wise Feature Augmentation
  ☆17Updated 4 years ago