rahulkidambi / AccSGD
Implements pytorch code for the Accelerated SGD algorithm.
☆215Updated 6 years ago
Alternatives and similar repositories for AccSGD:
Users that are interested in AccSGD are comparing it to the libraries listed below
- 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
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 5 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- An implementation of shampoo☆74Updated 6 years ago
- Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"☆138Updated 7 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆177Updated 4 years ago
- ☆132Updated 7 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆190Updated 7 years ago
- ☆219Updated 6 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆169Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- ☆165Updated 6 years ago
- Utilities for Pytorch☆89Updated 2 years ago
- Structured Bayesian Pruning, NIPS 2017☆73Updated 4 years ago
- Lua implementation of Entropy-SGD☆81Updated 6 years ago
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆238Updated 3 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆222Updated 4 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆201Updated 7 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆236Updated 6 years ago
- hessian in pytorch☆186Updated 4 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- A PyTorch implementation of shake-shake☆111Updated 4 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 5 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- Implementations of ideas from recent papers☆391Updated 4 years ago