idiap / importance-samplingLinks
Code for experiments regarding importance sampling for training neural networks
☆329Updated 3 years ago
Alternatives and similar repositories for importance-sampling
Users that are interested in importance-sampling are comparing it to the libraries listed below
Sorting:
- Sparse Variational Dropout, ICML 2017☆313Updated 5 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆135Updated 6 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Totally Versatile Miscellanea for Pytorch☆473Updated 3 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 5 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆189Updated 5 years ago
- Decoupled Weight Decay Regularization (ICLR 2019)☆280Updated 6 years ago
- ☆253Updated 8 years ago
- Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"☆145Updated 8 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆361Updated 5 years ago
- hessian in pytorch☆187Updated 4 years ago
- Implementation for the Lookahead Optimizer.☆242Updated 3 years ago
- Learning Sparse Neural Networks through L0 regularization☆244Updated 5 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆253Updated 6 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆140Updated 6 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆223Updated 5 years ago
- Implementing Bayes by Backprop☆184Updated 6 years ago
- explore DNNs via Infomration☆265Updated 5 years ago
- pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"☆301Updated 6 years ago
- Tools for loading standard data sets in machine learning☆204Updated 2 years ago
- A PyTorch library for two-sample tests☆242Updated 2 years ago
- Hypergradient descent☆149Updated last year
- ☆133Updated 7 years ago
- An implementation of KFAC for TensorFlow☆198Updated 3 years ago
- ☆144Updated 2 years ago
- Complementary code for the Targeted Dropout paper☆254Updated 5 years ago
- Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.☆108Updated 2 years ago
- ☆157Updated 3 years ago
- ICLR Reproducibility Challenge 2019☆217Updated 6 years ago