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ai_with_sohini_notebooks

biobert_named_entity_recognition

computer_vision_transfer_learning_and_explainability

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

deep-reap-for-multi-pathology-classification

ecommerce_demo

explainable_end2end_aug

Explainable Data Augmentation for Images

finance_anomaly_detection

flask-ml-pipeline_gcp-tutorial

gke-deployment-testing-strategies

hello-world

image_annotation_tools

knowledge-transfer-for-ml

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

maskrcnn_medical_image

ml-deployment-on-gcloud

A pipeline to CI/CD of a machine learning model on Google Cloud Run

ml-monitoring-for-retinal-images

ml-monitoring-with-grafana

paralllel-esn-for-image-quality

qu-net-plus-plus

tensorflow-2-object-detection-api-flask-application

In this application we build an API endpoint for the Tensorflow Object Detection API and deploy it on Google Kubernetes Engine. The user hits the endpoint with image data and gets a response which consists of detections with scores, image data with overlay, image size (can be customized).

tensorflow-object-detection-example

tensorflow_hub_webapps

u-net-for-multi-class-semantic-segmentation

unet-using-tf2

This example demonstrates the use of U-net model for retinal blood vessel segmentation on tensorflow 2.x

volvo-datax

what_if_tool_demo