rahulk90 / vae_sparse
VAEs on Sparse Data
☆12Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for vae_sparse
- ☆11Updated 6 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- For training very deep networks☆9Updated 7 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 7 years ago
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 7 years ago
- ☆74Updated 5 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 6 years ago
- ☆25Updated 5 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Th…☆17Updated 8 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆42Updated 7 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 10 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 7 years ago
- pytorch implementation of grammar variational autoencoder☆60Updated 6 years ago
- Deep CCA (DCCA) network☆15Updated 8 years ago
- TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)☆16Updated 7 years ago
- Variational inference for Gaussian mixture models☆34Updated 11 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆57Updated 7 years ago
- Deep generative model for sentiment analysis☆34Updated 7 years ago
- Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"☆51Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 7 years ago
- This implements variational inference for the correlated topic model.☆21Updated 10 years ago
- Determinantal point process☆18Updated 9 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆26Updated 6 years ago
- Sparsifying Variational Dropout in Tensorflow☆22Updated 7 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆32Updated 10 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆58Updated 6 years ago