# AkagawaTsurunaki/zerolan-core

<https://repo.masters-masters.com/en/repos/AkagawaTsurunaki/zerolan-core>

[Home](https://repo.masters-masters.com/en) › [AkagawaTsurunaki](https://repo.masters-masters.com/en/owners/AkagawaTsurunaki) › [zerolan-core](https://repo.masters-masters.com/en/repos/AkagawaTsurunaki/zerolan-core)

AkagawaTsurunaki/zerolan-core has 121 stars on GitHub. Its RepoMasters card: Prototype tier. ZerolanCore integrates many open-source, locally deployable AI…

| Field | Value |
| --- | --- |
| Owner | [AkagawaTsurunaki](https://repo.masters-masters.com/en/owners/AkagawaTsurunaki) |
| Stars | 121 |
| Forks | 28 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | anaconda, asr, cv, docker, image-captioning, llm, nlp, ocr, python, tts |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [AkagawaTsurunaki/zerolan-core](https://github.com/AkagawaTsurunaki/zerolan-core) |

## Repository

ZerolanCore integrates many open-source, locally deployable AI models, and aims to integrate a series of AI models such as large language model (LLM), automatic speech recognition (ASR), text-to-speech (TTS), image captioning, optical character recognition (OCR), video captioning, etc.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.