bayesgroup / variational-dropout-sparsifies-dnn
Sparse Variational Dropout, ICML 2017
☆310Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for variational-dropout-sparsifies-dnn
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆205Updated 5 years ago
- ☆219Updated 6 years ago
- ☆132Updated 7 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆236Updated 5 years ago
- A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017☆146Updated 7 years ago
- VQ-VAE implementation / pytorch☆181Updated 7 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆50Updated 7 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆226Updated 5 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆118Updated 7 years ago
- Sparse and structured neural attention mechanisms☆223Updated 4 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆90Updated 7 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 6 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆206Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Structured Bayesian Pruning, NIPS 2017☆73Updated 4 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆204Updated 8 years ago
- Optimizing control variates for black-box gradient estimation☆162Updated 5 years ago
- an implementation of L0 regularization with PyTorch☆56Updated 6 years ago
- Implementation of VLAE☆215Updated 6 years ago
- Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"☆351Updated 6 years ago
- ☆250Updated 7 years ago
- Sparsifying Variational Dropout in Tensorflow☆22Updated 7 years ago
- 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
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 4 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆99Updated 8 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆133Updated 5 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆133Updated 7 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 5 years ago
- hessian in pytorch☆186Updated 4 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆426Updated 7 years ago