[WIP] Advanced workshop covering ML Batch serving on Azure
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Updated
Mar 15, 2021
[WIP] Advanced workshop covering ML Batch serving on Azure
This repository provides sample codes, which enable you to learn how to use auto-ml image classification, or object detection under Azure ML(AML) environment.
LightGBM Inference on Datafusion
We perform batch inference on lead scoring task using Pyspark.
Support batch inference of Grounding DINO. "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Torchfusion is a very opinionated torch inference on datafusion.
Serve pytorch inference requests using batching with redis for faster performance.
Ray Saturday Dec 2022 edition
MLOps project that recommends movies to watch implementing Data Engineering and MLOps best practices.
Torchserve server using a YoloV5 model running on docker with GPU and static batch inference to perform production ready and real time inference.
Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt
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