rahulkidambi / AccSGD
Implements pytorch code for the Accelerated SGD algorithm.
☆215Updated 7 years ago
Alternatives and similar repositories for AccSGD:
Users that are interested in AccSGD are comparing it to the libraries listed below
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 7 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- An implementation of shampoo☆74Updated 7 years ago
- ☆133Updated 7 years ago
- Structured Bayesian Pruning, NIPS 2017☆73Updated 4 years ago
- ☆251Updated 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"☆139Updated 7 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 5 years ago
- ☆219Updated 6 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- Utilities for Pytorch☆89Updated 2 years ago
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆238Updated 3 years ago
- A PyTorch implementation of shake-shake☆111Updated 4 years ago
- Lua implementation of Entropy-SGD☆81Updated 6 years ago
- Sparse Variational Dropout, ICML 2017☆312Updated 4 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Updated 7 years ago
- A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017☆145Updated 8 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆189Updated 7 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 4 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 7 years ago
- Implementations of ideas from recent papers☆392Updated 4 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆222Updated 4 years ago
- Differentiable bitonic sorting☆139Updated 4 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆237Updated 6 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆86Updated 4 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆169Updated 5 years ago