keskarnitish / large-batch-training
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
Alternatives and similar repositories for large-batch-training:
Users that are interested in large-batch-training 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
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- An implementation of shampoo☆74Updated 7 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆112Updated 5 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 4 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆86Updated 4 years ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- Lua implementation of Entropy-SGD☆81Updated 7 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 4 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆222Updated 4 years ago
- Videos of deep learning optimizers moving on 3D problem-landscapes☆108Updated 8 months ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆117Updated 7 years ago
- Structured Bayesian Pruning, NIPS 2017☆73Updated 4 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆201Updated 7 years ago
- Second-order optimiser for deep networks☆76Updated 6 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆145Updated 5 years ago
- ☆133Updated 7 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆86Updated 8 years ago
- ☆61Updated 2 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago
- A drop-in replacement for CIFAR-10.☆240Updated 4 years ago
- Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based N…☆68Updated 11 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆139Updated 5 years ago
- ☆63Updated 8 years ago
- Reference caffe implementation of LSUV initialization☆113Updated 7 years ago
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 6 years ago
- Code for "Unifying distillation and privileged information" (ICLR 2016).☆48Updated 9 years ago
- ☆157Updated 2 years ago