kibitzing / BayesianRNN_pytorchLinks
pytorch implementation of "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks" LSTM(https://arxiv.org/abs/1512.05287)
☆21Updated 4 years ago
Alternatives and similar repositories for BayesianRNN_pytorch
Users that are interested in BayesianRNN_pytorch are comparing it to the libraries listed below
Sorting:
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- ☆237Updated 5 years ago
- PyTorch implementation of Variational LSTM and Monte Carlo dropout.☆56Updated 3 years ago
- Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf☆109Updated 5 years ago
- An encoder-decoder framework for learning from incomplete data☆44Updated 2 years ago
- Pytorch implementation of GRU-ODE-Bayes☆229Updated 3 years ago
- Contrastive Learning for Time Series☆40Updated 2 years ago
- ☆19Updated 4 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆95Updated 4 months ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆69Updated 5 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆114Updated 4 years ago
- Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)☆43Updated 8 months ago
- ☆91Updated 2 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- ☆68Updated 2 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆341Updated 4 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆142Updated 2 years ago
- Code for our paper Self Supervised Learning for Semi Supervised Time Series Classification PAKDD 2020☆16Updated 4 years ago
- This repository reimplemented "MC Dropout" by tensorflow 2.0 Eager Extension.☆18Updated 2 years ago
- Bayesian LSTM (Tensorflow)☆55Updated 2 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆45Updated 4 years ago
- A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch☆78Updated 4 years ago
- ☆90Updated 3 years ago
- ☆83Updated 3 years ago
- PyTorch Implementation of GRU-D from "Recurrent Neural Networks for Multivariate Time Series with Missing Values" https://arxiv.org/abs/1…☆26Updated 5 years ago
- Bayesian LSTM Implementation in PyTorch☆109Updated 2 years ago
- GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings☆134Updated 3 years ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆118Updated 2 years ago
- ☆122Updated 2 years ago
- Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"☆88Updated 4 years ago