Orcuslc / OrthNetLinks
TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials
☆31Updated 7 years ago
Alternatives and similar repositories for OrthNet
Users that are interested in OrthNet are comparing it to the libraries listed below
Sorting:
- Implements an infinite sum of poisson-weighted convolutions☆27Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 7 years ago
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Binary Stochastic Neurons in PyTorch☆57Updated 8 years ago
- Gaussian Processes in Pytorch☆76Updated 5 years ago
- ☆82Updated 8 years ago
- ☆33Updated 4 years ago
- boundary-seeking generative adversarial networks☆46Updated 8 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 8 years ago
- PixelVAE with or without regularization☆68Updated 8 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 8 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 8 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 6 years ago
- Implementations of polygamma, lgamma, and beta functions for PyTorch☆24Updated 8 years ago
- Backprop training of recurrent neural networks with Hebbian plastic connections☆20Updated 4 years ago
- simple generative adversarial network (GAN) using PyTorch☆32Updated 8 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 8 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆92Updated 8 years ago
- Odds and Ends and Things I've implemented.☆78Updated 7 years ago
- Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper☆46Updated 8 years ago
- Compare outputs between layers written in Tensorflow and layers written in Pytorch☆72Updated 7 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago
- Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).☆18Updated 8 years ago
- TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)☆16Updated 8 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆35Updated 7 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 4 years ago