manuwhs / BayesianRNNLinks
Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.
☆40Updated 7 years ago
Alternatives and similar repositories for BayesianRNN
Users that are interested in BayesianRNN are comparing it to the libraries listed below
Sorting:
- Bayesian Neural Network in PyTorch☆91Updated last year
- Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.☆77Updated 8 years ago
- ☆29Updated 5 years ago
- TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199☆197Updated 2 years ago
- Clean repo for tensor-train RNN implemented in TensorFlow☆69Updated 6 years ago
- Modeling Uncertainty in RNNs for Time Series Forecasting☆15Updated 7 years ago
- An encoder-decoder framework for learning from incomplete data☆45Updated 2 years ago
- Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'☆70Updated 4 years ago
- ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'☆91Updated 5 years ago
- Variational Inference in Gaussian Mixture Model☆60Updated 4 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Updated 6 years ago
- Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)☆48Updated 3 years ago
- Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf☆22Updated 6 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆57Updated 2 years ago
- Pytorch implementation of GRU-ODE-Bayes☆228Updated 3 years ago
- Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.☆79Updated 6 years ago
- Probabilistic Principal Component Analysis☆64Updated 8 years ago
- ☆29Updated 6 years ago
- Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values☆119Updated 6 years ago
- Deep Markov Models☆133Updated 6 years ago
- Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971☆59Updated 2 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆98Updated 6 months ago
- Learning error bars for neural network predictions☆71Updated 5 years ago
- Code for "Deep Signature Transforms" (NeurIPS 2019)☆97Updated last year
- Python 3.6+ (only)☆113Updated 6 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆60Updated 2 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- GluonTS - Probabilistic Time Series Modeling in Python☆53Updated 3 years ago
- ☆46Updated 2 years ago
- Tensorflow implementation of deep quantile regression☆76Updated 3 years ago