jayanthkoushik / torch-gelLinks
Group elastic net implementation in PyTorch.
☆45Updated 4 years ago
Alternatives and similar repositories for torch-gel
Users that are interested in torch-gel are comparing it to the libraries listed below
Sorting:
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- ☆40Updated 6 years ago
- Riemannian approach to batch normalization☆22Updated 7 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆90Updated 7 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Uncertainty Autoencoders, AISTATS 2019☆55Updated 6 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆72Updated 9 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Deep convolutional gaussian processes.☆80Updated 5 years ago
- ☆82Updated 7 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- local non-uniformity correction for mutual information estimation☆70Updated 4 years ago
- Sparse-input neural networks☆23Updated 2 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Several implementations of the kernel-based activation functions☆62Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- EigenPro2 iteration in Tensorflow (Keras)☆23Updated 6 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 5 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago