hiranumn / DLmodels
Personal experiments and implementation examples of deep learning papers.
☆11Updated 7 years ago
Alternatives and similar repositories for DLmodels:
Users that are interested in DLmodels are comparing it to the libraries listed below
- Code and Data to accompany "Dilated Convolutions for Modeling Long-Distance Genomic Dependencies", presented at the ICML 2017 Workshop on…☆28Updated 7 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆42Updated 7 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 7 years ago
- CS273B Deep Learning for Genomics Course Materials☆32Updated 4 years ago
- Integrative orthogonal non-negative matrix factorization☆31Updated 5 years ago
- Code for "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis"☆26Updated 4 years ago
- Variational Autoencoders & Normalizing Flows Project☆19Updated 8 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 8 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- ☆11Updated 7 years ago
- Keras implementation of the Information Dropout (arXiv:1611.01353) paper☆15Updated 8 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 6 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- f-divergence based t-SNE☆16Updated 2 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Diet networks in TensorFlow☆16Updated 7 years ago
- ☆34Updated 7 years ago
- Here is an implementation of some of a few results seen in Early Visual Concept Learning with Unsupervised Deep Learning☆28Updated 8 years ago
- This repository contains the code, and access to the pretrained models and datasets for the paper: "Automated analysis of high-content mi…☆50Updated 7 years ago
- Collapsed Variational Bayes☆68Updated 5 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆73Updated 6 years ago
- Implementation of Sequential Variational Autoencoder☆85Updated 7 years ago
- Generative Adversarial Network for Tree Structured Data☆21Updated 6 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 8 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Wasserstein Generative Adversarial Network for analysing scRNAseq data☆34Updated 4 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago