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
QA harness built for Claude Code | E2E testing with screen recordings, console logs, network HARs, and Playwright traces
Autoscale LLM (vLLM, SGLang, LMDeploy) inferences on Kubernetes (and others)
🗜️ Codebase-digest is your AI-friendly codebase packer and analyzer. Features 60+ coding prompts and generates structured overviews with metrics. Ideal for feeding projects to LLMs like GPT-4, Claude, PaLM, and Gemini for code analysis and understanding.
Smoothly Manage Multiple LLMs (OpenAI, Anthropic, Azure) and Image Models (Dall-E, SDXL), Speed Up Responses, and Ensure Non-Stop Reliability.
Tooling to build LLM applications: prompt templating and composition, agents, LLM memory, and other instruments for builders of AI applications.
Reproducible, flexible LLM evaluations
Framework to bring LLM applications to production
No description
Self-hardening firewall for large language models
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
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.
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
This is the Arduino® compatible port of the AIfES machine learning framework, developed and maintained by Fraunhofer Institute for Microelectronic Circuits and Systems.
24,540 repositories in the index in total.
