Poly-Coder
Deployment
Overview
About Poly-Coder
Poly-Coder is an open-source AI code generation model developed by researchers at Carnegie Mellon University. The team behind Poly-Coder includes:
Frank Xu – Ph.D. student in the School of Computer Science
Uri Alon – Assistant Professor in the Machine Learning Department
Graham Neubig – Associate Professor in the Language Technologies Institute
Vincent Hellendoorn – Assistant Professor in the School of Computer Science
These researchers introduced Poly-Coder in March 2022 as a multilingual code generation model based on OpenAI's GPT-2 architecture. It was trained on a dataset of 249GB of code spanning 12 programming languages, including C, Python, JavaScript, and Java. Notably, Poly-Coder demonstrated superior performance in generating C code compared to other models, including Codex.
At a glance
Software information
Industries served, licensing and the support Poly-Coder provides.
Industries
- Information-technology-services
Licensing
- Open Source
- Monthly Payment
Support
- 24x7 Support
Capabilities
Poly-Coder features
The full feature set, grouped by module.
AI Code Generator
- Code Autocompletion & Snippet Generation
- Code Refactoring & Optimization
- Code Review Assistance
- Context-Aware Suggestions
- Custom Prompt Tuning
- IDE Integration
- Multi-Language Support
- Natural Language to Code Conversion
- Real-Time Syntax & Error Checking
- Scalability & Collaboration Tools
- Security & Compliance Awareness
- Support for Frameworks & Libraries
- Test Case Generation
Plans
Poly-Coder pricing
Media
Screenshots & video
This profile is not fully claimed
Do you own or represent Poly-Coder? Verify your business email to claim and manage this Goodfirms profile.