loshchil / SGDR
☆251Updated 8 years ago
Alternatives and similar repositories for SGDR:
Users that are interested in SGDR are comparing it to the libraries listed below
- 2.86% and 15.85% on CIFAR-10 and CIFAR-100☆296Updated 6 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Netw…☆364Updated 6 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆188Updated 7 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
- auto-tuning momentum SGD optimizer☆286Updated 5 years ago
- PyTorch implementation of PNASNet-5 on ImageNet☆317Updated 2 years ago
- Reference caffe implementation of LSUV initialization☆112Updated 7 years ago
- Accelerate Neural Net Training by Progressively Freezing Layers☆211Updated 6 years ago
- Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"☆358Updated 6 years ago
- PyTorch and Tensorflow functional model definitions☆585Updated 7 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- Decoupled Weight Decay Regularization (ICLR 2019)☆271Updated 6 years ago
- This is the project for LS-GAN (Loss-Sensitive GAN)☆213Updated 8 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Batch Renormalization algorithm implementation in Keras☆98Updated 6 years ago
- PyTorch implementation of the paper Dynamic Routing Between Capsules by Sara Sabour, Nicholas Frosst and Geoffrey Hinton☆170Updated 6 years ago
- Lasagne code for weight normalization☆88Updated 8 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- repo that holds code for improving on dropout using Stochastic Delta Rule☆142Updated 6 years ago
- Spatially Adaptive Computation Time for Residual Networks☆248Updated last year
- Examples of C extensions for PyTorch☆257Updated 2 years ago
- Fast Scattering Transform with CuPy/PyTorch☆297Updated 5 years ago
- Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).☆131Updated 7 years ago
- ☆138Updated 8 years ago
- Multi-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)☆461Updated 5 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
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆125Updated 5 years ago
- CuPy fused PyTorch neural networks ops☆273Updated 7 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆169Updated 5 years ago