lokhande-vishnu / deepcg
☆9Updated 6 years ago
Alternatives and similar repositories for deepcg:
Users that are interested in deepcg are comparing it to the libraries listed below
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Lua implementation of Entropy-SGD☆81Updated 6 years ago
- ☆132Updated 7 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 6 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆41Updated 5 years ago
- Learning to share: simultaneous parameter tying and sparsification in deep learning☆12Updated 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, …☆111Updated 6 years ago
- ☆63Updated 8 years ago
- ☆46Updated 6 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆137Updated 5 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆70Updated 8 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 6 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆177Updated 4 years ago
- Sparsifying Variational Dropout in Tensorflow☆22Updated 7 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆16Updated 5 years ago
- Hypergradient descent☆145Updated 8 months ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆133Updated 6 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 8 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆201Updated 7 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆205Updated 6 years ago
- ☆82Updated 5 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆100Updated 8 years ago
- SC-Adagrad, SC-RMSProp and RMSProp algorithms for training deep networks proposed in☆14Updated 6 years ago
- Structured Bayesian Pruning, NIPS 2017☆73Updated 4 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆141Updated last year
- Interpreting Deep Classifier by Visual Distillation of Dark Knowledge☆35Updated 3 years ago
- This repository contains the code to reproduce the core results from the paper "The Numerics of GANs".☆46Updated 6 years ago