genpark-elastic-weight-consolidation-fisher-reg-skill
mcp
Uyari
Health Uyari
- 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 Gecti
- Code scan — Scanned 4 files during light audit, no dangerous patterns found
Permissions Gecti
- Permissions — No dangerous permissions requested
Bu listing icin henuz AI raporu yok.
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.
Yorumlar (0)
Yorum birakmak icin giris yap.
Yorum birakSonuc bulunamadi