Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).
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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.
BurnRate 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.
An easy-to-use feature store. Optimized for time-series data.
Helps teams build, deploy, observe or operate machine-learning systems.
Helm chart for Mastodon deployment in Kubernetes
Layer - Neural network inference from the command line, implemented in.
I work to bring AI into production. I write about AI system design.
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
CLIP Interrogator supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
) - A 1-click deployment and management tool for nostr-rs-relay and other appliances.
Open-source tool that lets you package ML models in a standard, production-ready container.