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
xet client tech, used in huggingface_hub
Cloud cost intelligence for engineers, AI coding agents, and CI/CD 💰📉 Shift FinOps Left!
GenAIOps with Prompt Flow is a "GenAIOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.
mlr3: Machine Learning in R - next generation
Instant is the best backend for AI-coded apps. You get auth, permissions, storage, presence, and streams — everything you need to ship apps your users will love.
Machine Learning Toolkit for Kubernetes
Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models.
cubestudio开源云原生一站式机器学习/深度学习/大模型AI平台/MaaS/mlops/人工智能平台/训推平台，算法全链路流程，多租户，算力租赁平台，token中转，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务，VGPU虚拟化，云边端协同，边缘计算，自动化标注平台，deepseek等大模型sft微调/奖励模型/强化学习训练，vllm/ollama/mindie大模型多机推理，私有知识库llmops智能体，AI模型市场，支持国产异构算力调度,昇腾/寒武纪/海光/摩尔/沐曦等，支持ib/roce/RDMA，信创支持
Fixes prompt cache regression in Claude Code that causes up to 20x cost increase on resumed sessions
LLMServingSim 2.0: A Unified Simulator for Heterogeneous and Disaggregated LLM Serving Infrastructure
Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation
A tool to configure, launch and manage your machine learning experiments.
Learn how to create, develop, and maintain a state-of-the-art MLOps code base
This Guidance demonstrates how organizations can implement secure enterprise authentication for Amazon Bedrock using industry-standard protocols and AWS services
Supercharge Your LLM Application Evaluations 🚀
MLEvolve is an open-source autonomous system for end-to-end machine learning algorithm design and optimization powered by progressive search and experience-driven memory.
Automated Machine Learning with scikit-learn
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Always up-to-date Nix package for Claude Code with hourly updates from Anthropic's native releases
MLOps for DevOps Engineers - A hands-on, project-based guide to Machine Learning Operations
BharatMLStack is an open-source, end-to-end machine learning infrastructure stack built at Meesho to support real-time and batch ML workloads at Bharat scale
ClearML Agent - MLOps/LLMOps made easy. MLOps/LLMOps scheduler & orchestration solution
Visualise your Kedro data and machine-learning pipelines and track your experiments.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
24,540 repositories in the index in total.
