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
200 results
Unified test intelligence platform with multi-format ingestion, real-time analytics, and AI-powered insights via LLM integration
Julia package for kernel functions for machine learning
A platform for managing machine learning experiments
Machine Learning Pipelines for Kubeflow
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
☸️ The Open Testing Platform for AI-Driven Engineering Teams
Learn how to create, develop, and maintain a state-of-the-art MLOps code base
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.
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.
🏕️ Reproducible development environment for humans and agents
This Guidance demonstrates how organizations can implement secure enterprise authentication for Amazon Bedrock using industry-standard protocols and AWS services
Visualise your Kedro data and machine-learning pipelines and track your experiments.
mlr3: Machine Learning in R - next generation
An awesome & curated list of best LLMOps tools for developers
Always up-to-date Nix package for Claude Code with hourly updates from Anthropic's native releases
A library of extension and helper modules for Python's data analysis and machine learning libraries.
ClearML Agent - MLOps/LLMOps made easy. MLOps/LLMOps scheduler & orchestration solution
Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Track and predict the energy consumption and carbon footprint of training deep learning models.
cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，mlops算法链路全流程，算力租赁平台，notebook在线开发，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，边缘计算，标注平台自动化标注，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，AI模型市场，支持国产cpu/gpu/npu 昇腾生态，支持RDMA，支持pytorch/tf/mxnet/deepspeed/paddle/colossalai/horovod/ray/volcano等分布式
Rust client for the huggingface hub aiming for minimal subset of features over `huggingface-hub` python package
A framework to monitor and improve the performance of PostgreSQL using Machine Learning methods.
24,545 repositories in the index in total.
