priyanka36

BlogApp

Chatbot

This is a new chatbot I am working on

DailyCodingChallenge

In this repo i aim at practising one problem daily so that it helps me improve my coding skills in days to come.

demo1

DigitalAdvertismentClassification

Classifying Digital Advertisment

FACERECOGNITIONAZURE

The repo implements different api scripts for face recognition in azure the documentation provides a detailed description of how the api scripts is used to perform the recognition

HOG-FEATURE-EXTRACTION

The image processing technique hog feature extraction is a well known method for evaluating the direction and magnitude of the gradients.

Inferencing-on-Edge-Devices

Model deployment on edge devices is one of the most challenging task in AI.Quantization can help us perform inferences on edge devices.There are two types of quantization training aware quantization and post training quanitization.

KNNclassifier

BuildingKNN

NeuralNetworksFromScratch

priyanka36/HOG-FEATURE-EXTRACTION

The image processing technique hog feature extraction is a well known method for evaluating the direction and magnitude of the gradients.

priyanka36/BlogApp

priyanka36/Chatbot

This is a new chatbot I am working on

priyanka36/DailyCodingChallenge

In this repo i aim at practising one problem daily so that it helps me improve my coding skills in days to come.

priyanka36/DigitalAdvertismentClassification

Classifying Digital Advertisment

priyanka36/FACERECOGNITIONAZURE

The repo implements different api scripts for face recognition in azure the documentation provides a detailed description of how the api scripts is used to perform the recognition

priyanka36/Inferencing-on-Edge-Devices

Model deployment on edge devices is one of the most challenging task in AI.Quantization can help us perform inferences on edge devices.There are two types of quantization training aware quantization and post training quanitization.

priyanka36/KNNclassifier

BuildingKNN

priyanka36/NeuralNetworksFromScratch

priyanka36/docs

The open-source repo for docs.github.com

priyanka36/FaceRecognitionUsingDeepMetric

This is the face recognition system that follows deep metric learning.Instead, of trying to output a single label (or even the coordinates/bounding box of objects in an image), we are instead outputting a real-valued feature vector. For the dlib facial recognition network, the output feature vector is 128-d (i.e., a list of 128 real-valued numbers) that is used to quantify the face. Training the network is done using triplets.

priyanka36/FASTAPI

Learning FastAPI for deploying MachineLearning model

priyanka36/FlaskAndDocker

This repo aims at deployment techniques for Flask and Docker.Getting familarized with docker container and building a web app to create deployment options in web .I am just getting started with Flask

priyanka36/ImageProcessingOpenCV

This repo is a collection Of simple image processing techniques implemented using python and OpenCv .

priyanka36/IntermediatePython

To improve programming skills and to write better and efficient code advanced concepts in programming including multithreading multiprocessing is necessary.Hence intermediate python is necessary

priyanka36/LinearClassifierFromScratch

This is the implemetation of linear Classifier from very very scratch using python and numpy only

priyanka36/Linux

The best way to become best is taking smaller steps at a time.Learning and exploring Unix commands helps us perform easily and makes us a good developer.

priyanka36/Message_Classification_WDC

This is msg class

priyanka36/MLProblems

Here I am practising Machine Learning Problems mostly from Kaggle

priyanka36/Perceptron

Perceptron is the concept of human brain in computer.A single layer network.The implementation of a single layer network.The reason behind the multilayer neural network. The test of perceptron on AND ,OR and XOR data set

priyanka36/PrincipalComponentAnalysis

PCA

priyanka36/priyanka36

priyanka36/priyanka36.github.io

A personal blog where I write about mathematics, data science, and artificial intelligence.

priyanka36/PythonDataStructures

Data Structures are very important for any programmer.It helps us build skills necessary for programming and enhances our programming skills thus making us an adept programmer.

priyanka36/PythonforEverybody

This is a repo for practicing and revising python

priyanka36/RetinalDiseaseClassification

Here Unet Architecture is used to classify the retinal disease

priyanka36/RoomFInder

This is a datascience project in which I am working .This is probably my first DS project.

priyanka36/statistics

Statistical Analysis using python

priyanka36/UnitTestingPython

Unit testing is an important concept for the programmers.I am just starting out with unit testing and practicing the best methodology for development.Unit testing is the most required practices for programmers

priyanka36/VisualImageUnderstandingAndText2Speech

This repository is a short demonstration of Artifical General Intelligence