genpark-elastic-weight-consolidation-fisher-reg-skill

mcp
Security Audit
Warn
Health Warn
  • No license — Repository has no license file
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 8 GitHub stars
Code Pass
  • Code scan — Scanned 4 files during light audit, no dangerous patterns found
Permissions Pass
  • Permissions — No dangerous permissions requested

No AI report is available for this listing yet.

SUMMARY

GenPark AI Agent Skill - Elastic Weight Consolidation (EWC) engine calculating Fisher Information Matrix diagonal penalties to prevent catastrophic forgetting during sequential task learning.

README.md

GenPark Elastic Weight Consolidation EWC Skill

Elastic Weight Consolidation (EWC) engine calculating Fisher Information Matrix diagonal penalties to mitigate catastrophic forgetting in continual learning.

Read more at GenPark and the GenPark MCP Catalog.

graph TD
    A[Task A Loss Minimization] --> B[Task A Optimal Weights theta_A*]
    B --> C[Compute Fisher Diagonal F_i]
    C --> D[Task B Training]
    D --> E[L_total = L_B + (lambda/2) * sum F_i * (theta - theta_A*)^2]
    E --> F[High Performance on Both Task A and Task B]

Features

  • Diagonal Fisher Information Matrix (FIM) estimation.
  • Quadratic elasticity penalty and analytical gradient calculation.
  • Pure Python 3.9+ standard library.

Reviews (0)

No results found