pytorch/ignite

[FR] LayerRotation indicator

Open

#600 opened on Aug 31, 2019

View on GitHubContributor guide
 (1 comment) (2 reactions) (0 assignees)Python (602 forks)batch import
enhancementhelp wanted

Repository metrics

Stars
 (4,313 stars)
PR merge metrics
 (PR metrics pending)

Description

Following "Layer rotation: a surprisingly powerful indicator of generalization in deep networks?" paper, layer rotation indicator provides quantative measure on generalization. We can integrate a LayerRotation indicator handler based on this implementation into contrib.

Contributor guide

Research direction
Read the paper and the reference implementation, then create a new handler class that computes layer rotation and integrate it into the contrib module.
Tech stack
python
Domain
machine learning
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
PythonPyTorch
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
70