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.
Experiment tracking, model registries, feature stores, workflow schedulers and deployment tooling.
Signals: mlops, machine-learning-operations, experiment-tracking, model-registry, feature-store, ml-platform, kubeflow, mlflow
202 results
The Ultimate Claude Code Docker Development Environment - Run Claude AI's coding assistant in a fully containerized, reproducible environment with pre-configured development profiles.
Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
🧠 Motorhead is a memory and information retrieval server for LLMs.
Xwin-LM: Powerful, Stable, and Reproducible LLM Alignment
The web framework for building LLM microservices [deprecated]
Moxin is a family of fully open-source and reproducible LLMs
利用LLM构建应用实践笔记
🔥 Generate llms.txt and llms-full.txt files for any website!
LLM全栈优质资源汇总
RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.
Kickstart your LLMOps initiative with a flexible, robust, and productive Python package.
A comprehensive library for implementing LLMs, including a unified training pipeline and comprehensive model evaluation.
Supercharge Your LLM Application Evaluations 🚀
An awesome & curated list of best LLMOps tools for developers
A lightweight, AI-native training framework for large language models. Designed for fast iteration, reproducible experiments, and modular configuration across SFT, RLVR, and evaluation workflows.
Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax
LibKGE - A knowledge graph embedding library for reproducible research
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
☀️ 最先进、最省事、ROI 最高的单元测试，机器学习 零代码、全方位、自动化 测试 方法/函数，用户包含腾讯、快手、某 500 强巨头等 ☀️ The most advanced unit testing way powered by machine learning. Coding-free, comprehensive and automatic testing for methods/functions. Used by Tencent, Kwai, a Fortune 500 company, etc.
This is the Arduino® compatible port of the AIfES machine learning framework, developed and maintained by Fraunhofer Institute for Microelectronic Circuits and Systems.
☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes
Frouros: an open-source Python library for drift detection in machine learning systems.
Machine Learning Framework for Operating Systems - Brings ML to Linux kernel
Parris, the automated infrastructure setup tool for machine learning algorithms.
24,523 repositories in the index in total.
