Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Drop-in AsyncOpenAI replacement that transparently batches requests via the Batch API for cheaper LLM inference.
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.
Bayesian Inference Tools in Python.
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.
Deploy a ML inference service on a budget in less than 10 lines of code.
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.
Helm chart for Mastodon deployment in Kubernetes
Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Fast inference engine for Transformer models in C++.
Curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.