brain-research / conv-svLinks
The Singular Values of Convolutional Layers
☆72Updated 7 years ago
Alternatives and similar repositories for conv-sv
Users that are interested in conv-sv are comparing it to the libraries listed below
Sorting:
- This repository is no longer maintained. Check☆81Updated 5 years ago
- An implementation of shampoo☆78Updated 7 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- Lua implementation of Entropy-SGD☆81Updated 7 years ago
- Implements stochastic line search☆118Updated 2 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆61Updated 6 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 6 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated last year
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 8 years ago
- ☆32Updated 7 years ago
- Odds and Ends and Things I've implemented.☆78Updated 7 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆194Updated 2 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 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 7 years ago
- ☆61Updated 2 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆43Updated 7 years ago
- ☆46Updated 7 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆50Updated 7 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆25Updated 6 years ago
- Loss Patterns of Neural Networks☆86Updated 4 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆147Updated 2 years ago
- ☆28Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 6 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- Autoregressive Energy Machines☆78Updated 3 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- ☆11Updated 6 years ago