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14 search results found

Deep Learning In Production ⭐ 4,138

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Kserve ⭐ 3,239

Standardized Serverless ML Inference Platform on Kubernetes

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

Model_server ⭐ 618

A scalable inference server for models optimized with OpenVINO™

Pinferencia ⭐ 473

Python + Inference - Model Deployment library in Python. Simplest model inference server ever.

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

Common library for serving TensorFlow, XGBoost and scikit-learn models in production.

Model Serving Tutorial ⭐ 53

Code and presentation for Strata Model Serving tutorial

Fdp Modelserver ⭐ 45

An umbrella project for multiple implementations of model serving

Serving Tensorflow Models ⭐ 37

Serving TensorFlow models with TensorFlow Serving 📙

Flink Modelserver ⭐ 16

Generic Model Serving Implementation leveraging Flink

Model_deployment ⭐ 12

A collection of model deployment library and technique.

Tfserving Demos ⭐ 9

TF Serving demos

Flink Speculative Modelserver ⭐ 6

Speculative model serving with Flink

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