kenya-sk / mc_dropout_tensorflowLinks
This repository reimplemented "MC Dropout" by tensorflow 2.0 Eager Extension.
☆18Updated 2 years ago
Alternatives and similar repositories for mc_dropout_tensorflow
Users that are interested in mc_dropout_tensorflow are comparing it to the libraries listed below
Sorting:
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆71Updated 5 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆137Updated 6 years ago
- Implementation of the MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf☆30Updated 5 years ago
- Pytorch implementations of various types of autoencoders☆65Updated 7 years ago
- inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver☆118Updated 6 years ago
- ☆239Updated 5 years ago
- Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…☆24Updated 5 years ago
- Pytorch implementation of GRU-ODE-Bayes☆233Updated 3 years ago
- ☆84Updated 3 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Updated 6 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- Building a Bayesian deep learning classifier☆493Updated 8 years ago
- Demonstration code for missing data imputation using Variational Autoencoders (VAE)☆23Updated 6 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago
- Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'☆72Updated 4 years ago
- Bayesian LSTM (Tensorflow)☆56Updated 2 years ago
- A toy example of VAE-regression network☆73Updated 5 years ago
- This repository has implementation and tutorial for Deep Belief Network☆101Updated 7 years ago
- Implementation of G. E. Hinton and R. R. Salakhutdinov's Reducing the Dimensionality of Data with Neural Networks (Tensorflow)☆39Updated last year
- ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'☆93Updated 5 years ago
- SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data☆40Updated 4 years ago
- PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"☆28Updated 6 years ago
- The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.☆23Updated 7 years ago
- ☆43Updated 6 years ago
- Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !☆99Updated 4 years ago
- Code for the paper "Improving Missing Data Imputation with Deep Generative Models"☆32Updated 6 years ago
- Multivariate recurrent GANs aimed at generating biomedical time-series. Methodology involves drawing symmetries to adversarial image gene…☆24Updated 3 weeks ago
- Pytorch implementation of SOM-VAE: INTERPRETABLE DISCRETE REPRESENTATION LEARNING ON TIME SERIES https://arxiv.org/pdf/1806.02199v7.pdf☆33Updated 6 years ago
- ☆196Updated 3 years ago
- conditional variational autoencoder written in Keras [not actively maintained]☆97Updated 8 years ago