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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
An awesome & curated list of best LLMOps tools for developers
| Date | Stars |
|---|---|
| 2026-07-31 | 5904 |
| 2026-08-02 | 5908 |
| 2026-08-06 | 5908 |
Today
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Momentum
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growth rate 0.00%/day
# Awesome LLMOps
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An awesome & curated list of the best LLMOps tools for developers.
> [!NOTE]
> Contributions are most welcome, please adhere to the [contribution guidelines](contributing.md).
## Table of Contents
- [Awesome LLMOps](#awesome-llmops)
- [Table of Contents](#table-of-contents)
- [Model](#model)
- [Large Language Model](#large-language-model)
- [CV Foundation Model](#cv-foundation-model)
- [Audio Foundation Model](#audio-foundation-model)
- [Robotics Foundation Model](#robotics-foundation-model)
- [Serving](#serving)
- [Large Model Serving](#large-model-serving)
- [Frameworks/Servers for Serving](#frameworksservers-for-serving)
- [Security](#security)
- [Frameworks for LLM security](#frameworks-for-llm-security)
- [Observability](#observability)
- [LLMOps](#llmops)
- [Search](#search)
- [Vector search](#vector-search)
- [Code AI](#code-ai)
- [Training](#training)
- [IDEs and Workspaces](#ides-and-workspaces)
- [Foundation Model Fine Tuning](#foundation-model-fine-tuning)
- [Frameworks for Training](#frameworks-for-training)
- [Experiment Tracking](#experiment-tracking)
- [Visualization](#visualization)
- [Model Editing](#model-editing)
- [Data](#data)
- [Data Management](#data-management)
- [Data Storage](#data-storage)
- [Data Tracking](#data-tracking)
- [Feature Engineering](#feature-engineering)
- [Data/Feature enrichment](#datafeature-enrichment)
- [Large Scale Deployment](#large-scale-deployment)
- [ML Platforms](#ml-platforms)
- [Workflow](#workflow)
- [Scheduling](#scheduling)
- [Model Management](#model-management)
- [Performance](#performance)
- [ML Compiler](#ml-compiler)
- [Profiling](#profiling)
- [AutoML](#automl)
- [Optimizations](#optimizations)
- [Federated ML](#federated-ml)
- [Awesome Lists](#awesome-lists)
<!-- Created by https://github.com/ekalinin/github-markdown-toc -->
## Model
### Large Language Model
| Project | Details | Repository |
| ----------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------------------------------------------------- |
| [Alpaca](https://github.com/tatsu-lab/stanford_alpaca) | Code and documentation to train Stanford's Alpaca models, and generate the data. |  |
| [BELLE](https://github.com/LianjiaTech/BELLE) | A 7B Large Language Model fine-tune by 34B Chinese Character Corpus, based on LLaMA and Alpaca. |  |
| [Bloom](https://github.com/bigscience-workshop/model_card) | BigScience Large Open-science Open-access Multilingual Language Model Excerpt of 197,179 characters
Read on GitHub
Ce Gao · @TensorChord
41
Warren Wen · Glory Ventures · China
10
Nero Un · IBM · Taiwan
7
5
Alex Strick van Linschoten · ZenML · Netherlands
4
Abby Morgan · @comet-ml @springboard-curriculum · Morocco
3
Keming · @tensorchord
3
Ryan Randall · AgentMark.co
3
Yuan Tang · Red Hat · United States
2
MakerJackie · Hong Kong
2
Patcher99 · @dokulabs
2
Vrushank Vyas · Portkey · India
2
2
2
2
2
Sam Stoelinga
1
Santosh kumar · @Agent-Field
1
Naveen RS · India
1
Sachin Sharma · @juspay
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:dbd8154cb22c81c5, topic:mlops, topic:llmops, name:llmops