dsbyprateekg/A-scalable-Keras-deep-learning-REST-API

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dsbyprateekg/A-scalable-Keras-deep-learning-REST-API

dsbyprateekg

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This repository demonstrates how to use Redis along with keras model as Rest Api to make the api scalable

YOLOv4

Added jupyter notebook code to convert YOLOv4 weights to TensorFlow 2.2.0 version

Jupyter Notebook

YOLObile_compression-compilation

YOLObile framework, a real-time object detection on mobile devices via compression-compilation co-design

A-scalable-Keras-deep-learning-REST-API-2

Seperated model and server logic from previous repo 'A-scalable-Keras-deep-learning-REST-API'

DeepLearning

My notebooks about deep learning work

Jupyter Notebook

FacialLandmarks

Measuring the size of an object (or objects) in an image with OpenCv

sample_project_repo

example of creating a repo in github

Jupyter Notebook

EndToEndMachineLearning

This repository contains a simple deep learning project which demonstrate how to deploy any model as a Rest API and then consume this api using Flask framework.

recommendations

my notebooks related to recommendation task

Jupyter Notebook

hackerearth-deep-learning-challenge-identify-dance-form

my solution to dance form recognition challenge

FaceDetection

OpenCV’s deep learning face detector is based on the Single Shot Detector (SSD) framework with a ResNet base network. When using OpenCV’s deep neural network module with Caffe models, you’ll need two sets of files:The .prototxt file(s) which define the model architecture (i.e., the layers themselves) and The .caffemodel file which contains the weights for the actual layers.

product_price_prediction

This repository contains my work for Mercari Product Price prediction

Jupyter Notebook