loshchil / AdamW-and-SGDW
Decoupled Weight Decay Regularization (ICLR 2019)
☆272Updated 6 years ago
Alternatives and similar repositories for AdamW-and-SGDW:
Users that are interested in AdamW-and-SGDW are comparing it to the libraries listed below
- Implementations of ideas from recent papers☆392Updated 4 years ago
- Implementation for the Lookahead Optimizer.☆240Updated 2 years ago
- ☆251Updated 8 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Experimental ground for optimizing memory of pytorch models☆365Updated 6 years ago
- ☆133Updated 7 years ago
- hessian in pytorch☆187Updated 4 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
- 2.86% and 15.85% on CIFAR-10 and CIFAR-100☆296Updated 6 years ago
- Code for experiments regarding importance sampling for training neural networks☆327Updated 3 years ago
- Totally Versatile Miscellanea for Pytorch☆470Updated 3 years ago
- ☆219Updated 6 years ago
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆238Updated 3 years ago
- pytorch implement of Lookahead Optimizer☆189Updated 2 years ago
- Experiments with Adam/AdamW/amsgrad☆200Updated 6 years ago
- Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"☆359Updated 6 years ago
- Sparse Variational Dropout, ICML 2017☆312Updated 4 years ago
- Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆407Updated 8 months ago
- A smoother activation function (undergrad code)☆109Updated 4 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆460Updated 5 years ago
- Code release for paper "Random Search and Reproducibility for NAS"☆167Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- Implementation of https://arxiv.org/abs/1904.00962☆373Updated 4 years ago
- A PyTorch implementation of Learning to learn by gradient descent by gradient descent☆313Updated 6 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
- Complementary code for the Targeted Dropout paper☆255Updated 5 years ago
- Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations☆284Updated 2 years ago
- Robust Bi-Tempered Logistic Loss Based on Bregman Divergences. https://arxiv.org/pdf/1906.03361.pdf☆148Updated 3 years ago
- A New Optimization Technique for Deep Neural Networks☆535Updated 3 years ago
- ☆165Updated 6 years ago