dsbyprateekg/FacialLandmarks

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Created over 5 years ago
Updated over 5 years ago

dsbyprateekg/FacialLandmarks

dsbyprateekg

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

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

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

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

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