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MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search.
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Fast inference engine for Transformer models in C++.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Open-source tool that lets you package ML models in a standard, production-ready container.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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An easy-to-use feature store. Optimized for time-series data.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Deploy a ML inference service on a budget in less than 10 lines of code.
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An open-source LLM gateway with routing, load balancing, guardrails, and observability for 1000+ models. opensource.
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Open-source platform for high-performance ML model serving.
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Bayesian Inference Tools in Python.
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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.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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A Python-inspired implementation of the Optimum-Path Forest classifier.
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A low-level Linear Regression Engine utilizing the Ordinary Least Squares (OLS) method and QR decomposition.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.
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A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.