Alternatives and similar repositories for vi_vae_gmm

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

• ermongroup / bgm
  Code for "Boosted Generative Models", AAAI 2018.
  ☆20Updated 7 years ago
• 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
• JACKHAHA363 / VQVAE
  a replicate of https://arxiv.org/pdf/1711.00937.pdf
  ☆16Updated 7 years ago
• SSS135 / aiqn-vae
  VAE + Quantile Networks for MNIST
  ☆12Updated 6 years ago
• wookayin / TensorflowKR-2016-talk-debugging
  A talk on TensorFlow debugging -- REPOSITORY MOVED TO:
  ☆8Updated 8 years ago
• Philip-Bachman / Pseudo-Ensembles
  Materials for implementing and reproducing results in the NIPS paper.
  ☆23Updated 10 years ago
• prasoongoyal / bnp-vae
  ☆11Updated 7 years ago
• Orcuslc / OrthNet
  TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials
  ☆31Updated 7 years ago
• fducau / infoVAE
  ☆16Updated 7 years ago
• c0nn3r / pytorch_highway_networks
  Highway networks implemented in PyTorch.
  ☆55Updated 8 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆12Updated last year
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• Emaasit / long-range-extrapolation
  Capturing Structure Implicitly from Noisy Time-Series having Limited Data
  ☆1Updated 7 years ago
• arnupretorius / lindaedynamics_icml2018
  Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)
  ☆12Updated 6 years ago
• thu-ml / BigTopicModel
  Big Topic Model is a fast engine for running large-scale Topic Models.
  ☆22Updated 8 years ago
• benathi / density-order-emb
  Density Order Embeddings
  ☆33Updated 6 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆16Updated 5 years ago
• mandt-lab / adversarial-negative-sampling
  Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)
  ☆14Updated 5 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 4 years ago
• fraenkel-lab / GSLR
  An algorithm for classification from a graph-sparse support
  ☆15Updated 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…
  ☆45Updated 5 years ago
• javiergonzalezh / dpp
  Python package to sample from determinantal point processes
  ☆18Updated 9 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 6 years ago
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 7 years ago
• foxlf823 / DilatedRnn
  A PyTorch implement of Dilated RNN
  ☆11Updated 7 years ago
• facebookresearch / DeepConvexity
  Easing non-convex optimization with neural networks.
  ☆23Updated 6 years ago
• msobroza / SparsemaxPytorch
  SparseMax activation function implementation (ICML 2016) (PyTorch)
  ☆27Updated 7 years ago
• anirudh9119 / LM_GANS
  Professor Forcing, NIPS'16
  ☆45Updated 8 years ago
• ryokamoi / dcnn_textvae
  TensorFlow implementation of "Improved Variational Autoencoders for Text Modeling using Dilated Convolutions"
  ☆54Updated 5 years ago