paulruvolo / ELLA
☆19Updated 9 years ago
Alternatives and similar repositories for ELLA:
Users that are interested in ELLA are comparing it to the libraries listed below
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 7 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆98Updated 8 years ago
- A tensorflow implementation of VAE training with Renyi divergence☆31Updated 8 years ago
- Active Learning on Image Data using Bayesian ConvNets☆137Updated 8 years ago
- ☆40Updated 5 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆42Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 7 years ago
- Dropout As A Bayesian Approximation: Code☆201Updated 9 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 9 years ago
- code for stochastic expectation propagation☆16Updated 9 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- ☆63Updated 8 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆135Updated 7 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Updated 7 years ago
- Code for the ICML 2013 and AAAI 2013 papers on ELLA☆13Updated 7 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆48Updated 8 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 6 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Updated 9 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Library of transfer learners and domain-adaptive classifiers.☆90Updated 6 years ago
- Joint distribution optimal transportation for domain adaptation☆96Updated 7 years ago
- Deep Generative Models with Stick-Breaking Priors☆95Updated 8 years ago
- Gaussian Processes in Pytorch☆75Updated 4 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆201Updated 7 years ago