awesome-llm and Awesome-Code-LLM

awesome-llm
52
Established
Awesome-Code-LLM
49
Emerging
Maintenance 10/25
Adoption 8/25
Maturity 16/25
Community 18/25
Maintenance 13/25
Adoption 10/25
Maturity 8/25
Community 18/25
Stars: 59
Forks: 12
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 3,258
Forks: 221
Downloads:
Commits (30d): 1
Language:
License:
No Package No Dependents
No License No Package No Dependents

About awesome-llm

XiaomingX/awesome-llm

Awesome-LLM: a curated list of Large Language Model.🔥 大型语言模型(LLM)已经席卷了 全球,不再局限于 NLP 或 AI 社区。这里整理了一些关于大型语言模型,特别是与 ChatGPT 相关的研究论文,涵盖了 LLM 训练框架、部署工具、课程与教程,以及所有公开的 LLM 检查点和 API。

This is a curated list for anyone trying to understand and work with Large Language Models (LLMs). It provides a comprehensive overview of cutting-edge research, open-source models like Llama and DeepSeek, and tools for training, deployment, and evaluation. Researchers, AI engineers, and tech strategists can use this to quickly find relevant papers, frameworks, and trends in the rapidly evolving LLM space, from model checkpoints to training tutorials.

AI Research Machine Learning Engineering Model Development AI Strategy Computational Linguistics

About Awesome-Code-LLM

codefuse-ai/Awesome-Code-LLM

[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.

This resource is a comprehensive, organized collection of academic research papers and datasets focused on using Large Language Models (LLMs) for various software engineering tasks. It brings together studies on how LLMs can generate code, fix bugs, summarize code, and assist with testing, deployment, and even requirements analysis. Developers, researchers, and anyone looking to understand or apply cutting-edge AI in software development will find this a valuable starting point for exploring the field.

software-development AI-engineering code-generation program-analysis devops

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