Continual Learning Guard (EWC / SI / Progressive Networks / Replay)
CommunityGuard continual learning across tasks.
Software Engineering#lifelong-learning#continual-learning#catastrophic-forgetting#elastic-weight-consolidation#replay-buffer#progressive-networks
Authorsovr610
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill standardizes a modular continual-learning guard that preserves prior-task performance while incorporating new knowledge across sequential tasks.
Core Features & Use Cases
- Elastic Weight Consolidation (EWC) and online variants to anchor important parameters after each task.
- Synaptic Intelligence (SI), Progressive Networks, Experience Replay, and PackNet-style strategies to balance plasticity and stability.
- Real-world use cases include sequential ML deployments, robotics, and adaptive content systems that must remember prior skills.
Quick Start
Instantiate and configure the Continual Learning Guard on a model to protect prior task performance while learning new tasks.
Dependency Matrix
Required Modules
torch
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Continual Learning Guard (EWC / SI / Progressive Networks / Replay) Download link: https://github.com/sovr610/refffiy/archive/main.zip#continual-learning-guard-ewc-si-progressive-networks-replay Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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