Awesome-Code-LLM

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Awesome-Code-LLM is a curated list of language modeling researches for code and other software engineering activities. It includes related datasets and resources for AI researchers and software engineers.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is Awesome-Code-LLM?

Awesome-Code-LLM is a comprehensive, curated list of language modeling researches specifically tailored for code and various software engineering activities. This GitHub repository serves as a valuable resource for AI researchers and software engineers, providing an organized collection of academic papers, projects, and related datasets. It aims to support advancements in areas such as code generation, analysis, and understanding, offering a centralized hub for staying updated on the latest developments in the field of AI for software development. The repository is actively maintained with updates on new research and papers.

Best used for

Ideal for developers and professors who need to research advancements in language modeling for code, find relevant datasets for AI projects, and explore applications in software engineering. Especially valuable for those looking to stay informed on the latest academic papers and projects in the field.

Common actions

research code LLMs

find code datasets

explore AI for software engineering

workflowscollaborationopen-sourceautomated workflowlow-code/no-codedeepfake"AI Agents"github copilotface swapping

Capabilities

Key features

Curated research list
Code language models
Software engineering activities
Related datasets
Academic papers

Target Audience

developerprofessor

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of research is included in Awesome-Code-LLM?

Awesome-Code-LLM includes a curated list of language modeling researches specifically focused on code and various software engineering activities. This encompasses studies on code generation, analysis, understanding, and other AI applications relevant to software development.

Are there datasets available through Awesome-Code-LLM?

Yes, the repository provides access to a collection of related datasets alongside the research papers. These datasets are valuable resources for researchers and developers working on AI models for code and software engineering tasks.

Who maintains the Awesome-Code-LLM list?

The Awesome-Code-LLM list is maintained by codefuse-ai. It is regularly updated with new academic papers and projects to ensure it remains a current and relevant resource for the community.

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Subcategories trending in Coding & Development

Open Source & Models DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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Research & Education › Academic Research

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