manuwhs / BayesianRNN
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
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- ☆29Updated 5 years ago
- ☆28Updated 6 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- Deep Gaussian Processes in Python☆233Updated 4 years ago
- Bayesian LSTM (Tensorflow)☆54Updated 2 years ago
- Bayesian Neural Network in PyTorch☆87Updated last year
- 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
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated 10 months ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆265Updated 5 years ago
- Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.☆76Updated 7 years ago
- Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Su…☆77Updated last year
- Bayesian Gaussian mixture models in Python.☆63Updated 2 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- Learning error bars for neural network predictions☆70Updated 5 years ago
- Variational Inference in Gaussian Mixture Model☆59Updated 4 years ago
- Variational Fourier Features☆84Updated 3 years ago
- Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971☆59Updated 2 years ago
- Source code for the AAAI 2019 paper "On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters" (https://arx…☆19Updated 4 years ago
- Modeling Uncertainty in RNNs for Time Series Forecasting☆14Updated 7 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Robust bayesian online changepoint detection with model selection☆23Updated 6 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated last year
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆155Updated 2 years ago
- Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)☆47Updated 3 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 6 years ago