Bayesian LSTM (Tensorflow)
☆57Mar 24, 2023Updated 3 years ago
Alternatives and similar repositories for bayesianLSTM
Users that are interested in bayesianLSTM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Bayesian LSTM for time-series prediction.☆20May 28, 2020Updated 6 years ago
- Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.☆40Mar 30, 2018Updated 8 years ago
- Bayesian, Uncertainty, Neutral Networks, LSTM, time series☆39Aug 1, 2020Updated 6 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆221Dec 17, 2018Updated 7 years ago
- ☆12Jun 2, 2018Updated 8 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- PyTorch implementation of Variational LSTM and Monte Carlo dropout.☆56Jun 22, 2022Updated 4 years ago
- Code and supplementary material for ICPHM2020☆27Jun 24, 2020Updated 6 years ago
- Companion repository for the paper "Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision"…☆28Jan 27, 2022Updated 4 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆584Feb 26, 2022Updated 4 years ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆986Sep 25, 2023Updated 3 years ago
- implement bayesian neural networks on tensorflow.☆17Feb 14, 2020Updated 6 years ago
- Implementation of TPA-LSTM in TensorFlow2☆17Jan 11, 2022Updated 4 years ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆15Mar 10, 2025Updated last year
- Notes and codes of the topic "Bayesian deep learning"☆57Nov 30, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Stochastic Gradient Riemannian Langevin Dynamics☆35May 29, 2015Updated 11 years ago
- Source code of the paper "A stacked DCNN to predict the RUL of a turbofan engine", third place ranked in the PHM21 data challenge.☆85Apr 2, 2023Updated 3 years ago
- A Recurrent Latent Variable Model for Sequential Data☆28May 8, 2018Updated 8 years ago
- ☆12Sep 23, 2023Updated 3 years ago
- Algorithm to detect bursts in the EEG of preterm infants (Python version of an existing Matlab program)☆12Feb 17, 2020Updated 6 years ago
- Deep Learning Applied To Bitcoin Price Prediction.☆10Aug 25, 2021Updated 5 years ago
- Adversarial learning by utilizing model interpretation☆10Oct 19, 2018Updated 8 years ago
- Building a Bayesian deep learning classifier☆491Oct 30, 2017Updated 9 years ago
- Traffic Forecasting using Graph Convolution + LSTM model is a ML model developed during the learning process of GCN. The primary soorce o…☆27Feb 8, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Yet another alternative curriculum vitae/résumé class with LaTeX☆13May 7, 2020Updated 6 years ago
- Simulation of a SDOF Bouc-Wen-Baber-Noori hysteretic system☆15Sep 15, 2021Updated 5 years ago
- Sparse Unmixing Using Unsupervised Convolutional Neural Network☆10Jun 2, 2024Updated 2 years ago
- A Dynamic Stiefel Graph Neural Network for Efficient Spatio-Temporal Time Series Forecasting☆12May 11, 2026Updated 5 months ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- Python Implementation of Quantile Random Forest Regression☆14Nov 5, 2014Updated 11 years ago
- Implementing LSTM for time series data☆12Feb 4, 2023Updated 3 years ago
- ☆28Jan 13, 2021Updated 5 years ago
- Lecture Notes of Course Applied Deep Learning☆10May 17, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Regression Toolbox for matlab☆13Feb 10, 2016Updated 10 years ago
- use lstm to predict value and label based on keras基于keras框架，用lstm解决回归和分类问题☆18May 15, 2020Updated 6 years ago
- VIME: Variational Information Maximizing Exploration☆10Feb 13, 2020Updated 6 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆37Nov 29, 2021Updated 4 years ago
- AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.☆39Apr 7, 2020Updated 6 years ago
- Real-Time Spatio-Semantic Memory☆19Updated this week
- " Weight Uncertainty in Neural Networks"☆49Jan 31, 2018Updated 8 years ago