insujeon / rbfn
Radial Basis Function Network - PyTorch
☆46Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for rbfn
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆35Updated 6 years ago
- PyTorch implementation of Neural Processes☆88Updated 5 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 5 years ago
- Bayesian Neural Network in PyTorch☆80Updated 6 months ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆58Updated last year
- ☆16Updated 6 years ago
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆94Updated 6 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 6 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 5 years ago
- Implementation of autoencoders in PyTorch☆57Updated 6 years ago
- Multi-task Gaussian Process☆43Updated 9 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆39Updated 6 years ago
- Modular learning for deep classifiers☆23Updated 2 years ago
- Variational auto encoder in pytorch☆54Updated 5 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆135Updated 6 years ago
- Deep Gaussian Processes in matlab☆90Updated 3 years ago
- Experiments with beta-VAE to learn disentangled representations from the data☆65Updated 5 years ago
- Joint distribution optimal transportation for domain adaptation☆93Updated 6 years ago
- ☆102Updated 4 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 8 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- tensorflow implementation of the Wasserstein (aka optimal transport) distance☆72Updated 3 years ago
- ☆51Updated 7 years ago
- An introduction to variational Bayesian☆24Updated 6 years ago
- Wasserstein / earth mover's distance visualizations☆64Updated 7 years ago
- Parametric Gaussian Process Regression for Big Data☆44Updated 4 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated last year