paper-replication
CommunityTurn research papers into runnable PyTorch code.
Education & Research#PyTorch#PDF#code-generation#deep-learning#paper-replication#architecture-extraction#research-reproducibility
Authorbahayonghang
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The skill helps researchers and engineers reproduce deep learning papers by converting PDF or text descriptions into runnable PyTorch code and project scaffolds.
Core Features & Use Cases
- Paper-to-code translation: Extract architecture details, equations, and training setups from papers (PDF or text) and generate working PyTorch modules.
- Automated scaffolding: Produce a complete project skeleton including model classes, dataset loaders, and training templates.
- Use Case: If you have a new paper on a CNN architecture, feed its PDF and obtain a ready-to-run PyTorch implementation with an example training script.
Quick Start
Use the skill to convert a provided paper PDF into a PyTorch-compatible implementation with a runnable training loop.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: paper-replication Download link: https://github.com/bahayonghang/my-claude-code-settings/archive/main.zip#paper-replication Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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