djsutherland / mmdLinks
☆25Updated 8 years ago
Alternatives and similar repositories for mmd
Users that are interested in mmd are comparing it to the libraries listed below
Sorting:
- Learning kernels to maximize the power of MMD tests☆211Updated 8 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 10 years ago
- ☆40Updated 6 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆62Updated 7 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 6 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆47Updated 9 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- Active Learning on Image Data using Bayesian ConvNets☆140Updated 9 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow☆72Updated 9 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 7 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 8 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Updated 7 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Updated 9 years ago
- MMD and Relative MMD test☆31Updated 10 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 8 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 9 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 9 years ago
- ☆11Updated 8 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆121Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆100Updated 9 years ago
- Adaptive Neural Trees☆155Updated 6 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 7 years ago
- Gaussian Processes in Pytorch☆76Updated 5 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 9 years ago
- contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection☆36Updated 8 years ago