Mistral Studio helps build, test, automate, or manage AI agents, prompts, models, and API workflows.
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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.
Model Railroader is a magazine publishing features, commentary and specialist editorial coverage.
Framework that implements AutoML algorithms for model architecture search at scale.
ModelScope supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ModelScope Finetuning supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Private AI for individuals, teams, and organizations. Workspaces, agents, models, and knowledge—one connected system on your terms.
Creates or edits images with generative models and visual controls.
MyVibe supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Proof-of-concept OpenAI Gym environment for Neural Architecture Search (NAS).
Ncnn is a high-performance neural network inference framework optimized for the mobile platform.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Easy-to-use library to boost AI inference.
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
Nimblebox supports deploying, serving, monitoring, or operating AI and machine-learning systems.
An Easy-to-Use and High-Performance AI deployment framework.
Neural networks framework in pure C: training and inference, no dependencies.