tfrerix / proxpropLinks
Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps
☆42Updated 6 years ago
Alternatives and similar repositories for proxprop
Users that are interested in proxprop are comparing it to the libraries listed below
Sorting:
- ☆82Updated 7 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 7 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- ScatWave is a Torch implementation of scattering using CUDA☆21Updated 7 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 8 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 8 years ago
- Tensorflow implementation of preconditioned stochastic gradient descent☆34Updated last year
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- 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
- ☆46Updated 7 years ago
- ☆80Updated 7 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- ☆29Updated 8 years ago
- PixelVAE with or without regularization☆66Updated 8 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆66Updated 5 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago