zjunlp/EasyEdit
May 2025 – Jan 2026
2 Months active
Languages Used
Python
Technical Skills
Deep LearningMachine LearningModel EditingNatural Language ProcessingTransformersModel Optimization
ybdai
PROFILE
Ybdai
Worked on the zjunlp/EasyEdit repository, delivering two core features focused on model editing and optimization over a two-month period. Integrated Neural Association Modification via Edit (NAMET), enabling targeted knowledge editing by introducing modules for vector computation, hyperparameter management, and a workflow for controlled parameter updates. Later, refactored the EAMET model to improve performance and maintainability, restructuring modules and adding new hyperparameters to support faster experimentation and scalability. All work was implemented in Python using PyTorch and Transformers, with an emphasis on modularity, extensibility, and safe, traceable updates to deep learning models for natural language processing tasks.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,473
Activity Months2
Your Network
27 peopleWork History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 — Delivered the EAMET Model Enhancement in zjunlp/EasyEdit. Refactored the EAMET model for improved performance and maintainability, introducing new hyperparameters and restructuring modules to enable faster experimentation and easier future maintenance. The work reduces technical debt, improves scalability, and supports quicker model iterations. No major bugs fixed this month; stability improvements and code quality enhancements were the focus of the engineering effort.
1 Commits • 1 Features
Jan 1, 2026January 2026 — Delivered the EAMET Model Enhancement in zjunlp/EasyEdit. Refactored the EAMET model for improved performance and maintainability, introducing new hyperparameters and restructuring modules to enable faster experimentation and easier future maintenance. The work reduces technical debt, improves scalability, and supports quicker model iterations. No major bugs fixed this month; stability improvements and code quality enhancements were the focus of the engineering effort.
January 2026
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for zjunlp/EasyEdit: Delivered Neural Association Modification via Edit (NAMET) integration, enabling targeted knowledge editing within EasyEdit. This release introduces modules to compute k and z vectors, hyperparameters, and the main editing workflow to apply targeted parameter updates to model weights. Focused on providing a user-facing capability to edit model knowledge and behavior with controlled updates, while maintaining safeguards and traceability. Lays groundwork for rapid, low-risk model updates and future knowledge-editing experiments.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for zjunlp/EasyEdit: Delivered Neural Association Modification via Edit (NAMET) integration, enabling targeted knowledge editing within EasyEdit. This release introduces modules to compute k and z vectors, hyperparameters, and the main editing workflow to apply targeted parameter updates to model weights. Focused on providing a user-facing capability to edit model knowledge and behavior with controlled updates, while maintaining safeguards and traceability. Lays groundwork for rapid, low-risk model updates and future knowledge-editing experiments.
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture85.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Deep LearningMachine LearningModel EditingModel OptimizationNatural Language ProcessingPyTorchTransformers
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