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A platform for deploying and serving machine learning models.

Metorial supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Milvus is open source vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors.

MiMo Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

Full-stack AI platform focused on multimodal agents and consumer-scale deployment.

MiniMax AI helps build, test, automate, or manage AI agents, prompts, models, and API workflows.

Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.

Mistral Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.

Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.

ML Visualized supports machine learning models, deployment, inspection, datasets, or AI development workflows.

Version and deploy your ML models following GitOps principles.

An open-source platform for tracking ML experiments, evaluating models and prompts, deploying models, and adding LLM observability. opensource.

MLOps Community supports deploying, serving, monitoring, or operating AI and machine-learning systems.

MLOps Guide supports deploying, serving, monitoring, or operating AI and machine-learning systems.

MLOps Now supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open source MLOps platform that helps you collaborate, reproduce and share your ML work.

mlsysbook supports machine learning models, deployment, inspection, datasets, or AI development workflows.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Model Railroader is a magazine publishing features, commentary and specialist editorial coverage.

Framework that implements AutoML algorithms for model architecture search at scale.

Discover open source deep learning code and pretrained models.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

ModelScope supports machine learning models, deployment, inspection, datasets, or AI development workflows.