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
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- ☆29Updated 6 years ago
- ☆29Updated 5 years ago
- Clean repo for tensor-train RNN implemented in TensorFlow☆69Updated 5 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆59Updated 2 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆95Updated 4 months ago
- Pytorch implementation of GRU-ODE-Bayes☆229Updated 3 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆264Updated 6 years ago
- Code for "Deep Signature Transforms" (NeurIPS 2019)☆94Updated last year
- The collection of papers about combining deep learning and Bayesian nonparametrics☆121Updated 5 years ago
- Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)☆48Updated 3 years ago
- Python3 project applying Gaussian process regression for forecasting stock trends☆154Updated 6 years ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆57Updated last year
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated last year
- Variational Inference in Gaussian Mixture Model☆59Updated 4 years ago
- Learning error bars for neural network predictions☆71Updated 5 years ago
- Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971☆59Updated 2 years ago
- Experimental Codes for Temporal Regularized Matrix Factoriztion for High-dimensional Time Series Prediction.☆79Updated 6 years ago
- An encoder-decoder framework for learning from incomplete data☆44Updated 2 years ago
- Deep Gaussian Processes in Python☆234Updated 4 years ago
- A distributed method for fitting Laplacian regularized stratified models.☆25Updated 4 years ago
- ☆91Updated 2 years ago
- Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.☆77Updated 7 years ago
- Probabilistic Principal Component Analysis☆63Updated 8 years ago
- Bayesian LSTM (Tensorflow)☆55Updated 2 years ago
- Deep Markov Models☆133Updated 6 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- Robust bayesian online changepoint detection with model selection☆23Updated 6 years ago