lnsmith54 / super-convergence
Files to create the figures in the paper "Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates"
☆191Updated 7 years ago
Alternatives and similar repositories for super-convergence:
Users that are interested in super-convergence 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…☆149Updated 7 years ago
- repo that holds code for improving on dropout using Stochastic Delta Rule☆142Updated 6 years ago
- Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).☆131Updated 7 years ago
- A new kind of pooling layer for faster and sharper convergence☆76Updated 7 years ago
- A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017☆145Updated 8 years ago
- 2.86% and 15.85% on CIFAR-10 and CIFAR-100☆295Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Accelerate Neural Net Training by Progressively Freezing Layers☆211Updated 6 years ago
- Reference caffe implementation of LSUV initialization☆113Updated 7 years ago
- TensorFlow implementation of PNASNet-5 on ImageNet☆101Updated 6 years ago
- ☆36Updated 6 years ago
- DeepArchitect: Automatically Designing and Training Deep Architectures☆145Updated 5 years ago
- Spatially Adaptive Computation Time for Residual Networks☆248Updated 2 years ago
- ☆57Updated 6 years ago
- auto-tuning momentum SGD optimizer☆287Updated 6 years ago
- ☆138Updated 8 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- The first public PyTorch implementation of Attentive Recurrent Comparators☆146Updated 7 years ago
- Code for https://arxiv.org/abs/1810.04622☆141Updated 5 years ago
- train on AWS☆75Updated 6 years ago
- Pytorch implementation of MaxPoolingLoss.☆176Updated 6 years ago
- [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895☆124Updated 6 years ago
- Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee☆60Updated 6 years ago
- ☆304Updated 4 years ago
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆95Updated 7 years ago
- DSD model zoo. Better accuracy models from DSD training on Imagenet with same model architecture☆113Updated 6 years ago
- A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch☆123Updated 7 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆125Updated 6 years ago
- Reproduction of some of the results from 'Identity Mappings in Deep Residual Networks'☆72Updated 8 years ago