tfrerix / proxprop
Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
☆41Updated 5 years ago
Alternatives and similar repositories for proxprop:
Users that are interested in proxprop are comparing it to the libraries listed below
- ☆81Updated 7 years ago
- ScatWave is a Torch implementation of scattering using CUDA☆21Updated 7 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 6 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- Odds and Ends and Things I've implemented.☆78Updated 5 years ago
- ☆38Updated 6 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆39Updated 7 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 6 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 7 years ago
- Gaussian Processes in Pytorch☆75Updated 4 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆99Updated 8 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 4 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago
- ☆29Updated 7 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆148Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆31Updated 4 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆140Updated 6 years ago