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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
AI Jukebox 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.
Helps teams build, deploy, observe or operate machine-learning systems.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Amadeus Code supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MLOps in a notebook - uncover insights, surface problems, monitor, and fine tune your models.
Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.
AutoGPT lets you build, deploy, and run AI agents that automate your digital workflows — research, outreach, content, support — without writing code.
Awesome AI Web Search supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).
Curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning.
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
Inference hosting for AI teams who ship fast and scale faster.
Deploy and serve machine learnings models performantly, scalably, and cost-efficiently with Baseten.
Bayesian Inference Tools in Python.
Run sandboxes, task queues, and custom model inference with ultrafast boot times, instant autoscaling, and a developer experience that just works.
Open-source platform for high-performance ML model serving.
An open-source LLM gateway with routing, load balancing, guardrails, and observability for 1000+ models. opensource.
Official inference framework for 1-bit LLMs, by Microsoft. opensource.
Deploys machine learning projects developed in Python, to Kubernetes.
Deploy a ML inference service on a budget in less than 10 lines of code.