DoctorLoop / BayesianDeepLearning
☆17Updated 4 years ago
Alternatives and similar repositories for BayesianDeepLearning:
Users that are interested in BayesianDeepLearning are comparing it to the libraries listed below
- " Weight Uncertainty in Neural Networks"☆47Updated 7 years ago
- 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
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆202Updated 3 years ago
- ☆234Updated 4 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆66Updated 5 years ago
- Bayesian LSTM (Tensorflow)☆53Updated 2 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆154Updated 2 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 2 years ago
- ☆102Updated 3 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Variational autoencoder for anomaly detection (in PyTorch).☆48Updated 5 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆111Updated 4 years ago
- Bayesian, Uncertainty, Neutral Networks, LSTM, time series☆38Updated 4 years ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆50Updated 5 years ago
- Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…☆24Updated 5 years ago
- Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)☆17Updated 4 years ago
- This repository reimplemented "MC Dropout" by tensorflow 2.0 Eager Extension.☆18Updated 2 years ago
- A hello world Bayesian Neural Network project on MNIST☆43Updated 2 years ago
- Implementation of deep kernels in GPyTorch and Pyro☆10Updated 4 years ago
- ☆37Updated 5 years ago
- Utilities to perform Uncertainty Quantification on Keras Models☆115Updated last year
- Testing methods for estimating KL-divergence from samples.☆62Updated 2 weeks ago
- End-to-end Deep Linear Discriminant Analysis in Pytorch.☆17Updated 4 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆28Updated 2 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆135Updated 2 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆17Updated 2 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆44Updated 2 years ago
- Master Thesis on Bayesian Convolutional Neural Network using Variational Inference☆265Updated 5 years ago
- Learning error bars for neural network predictions☆69Updated 5 years ago
- HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator☆10Updated 2 years ago