toiaydcdyywlhzvlob / backpack
This repository is no longer maintained. Check
☆81Updated 5 years ago
Alternatives and similar repositories for backpack:
Users that are interested in backpack are comparing it to the libraries listed below
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated last month
- An implementation of shampoo☆74Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 years ago
- Lua implementation of Entropy-SGD☆81Updated 7 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 5 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆24Updated 5 years ago
- The Singular Values of Convolutional Layers☆72Updated 6 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- ☆46Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- ☆27Updated 6 years ago
- Implementation of Information Dropout☆39Updated 7 years ago
- ☆36Updated 3 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- ☆83Updated 5 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- A second-order optimizer for deep networks☆24Updated 5 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆113Updated 6 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Updated 5 years ago
- (Batched) advanced indexing for PyTorch.☆53Updated 3 months ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- ☆133Updated 7 years ago