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Harshit Dave's Projects

ai-project icon ai-project

This is the repository which contains pdf and code for the Artificial Intelligence project (Sem 3)

awesome-automl-papers icon awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

bytenet icon bytenet

A tensorflow implementation of French-to-English machine translation using DeepMind's ByteNet .

detection-of-neurodevelopment-disorder icon detection-of-neurodevelopment-disorder

This project is used to detect neurodevelopmental disorder in child, adolescents and adults.This is a mini-project (ITIT-3203) under the supervision of Dr. Saumya Bhadauria. Used 5 machine learning techniques (Logistic Regression, Decision Tree, Naive Bayes, KNN and ANN) on three different datasets. Please readme for the results.

django icon django

The Web framework for perfectionists with deadlines.

fruit-freshness-prediction icon fruit-freshness-prediction

In this project, I predicted whether fruit is rotten or not using sequential model, ResNet50v2 and VGG16, trained all of them using the Fruit fresh and rotten for classification Kaggle dataset. Got an accuracy of 96.96%, 97.41% and 91.4% respectively. Please see readme for details.

ivy icon ivy

The Unified Machine Learning Framework

melodicity-se-project- icon melodicity-se-project-

Melodicity, a web based application, created this project under the course SE-ITIT-3103 and under the guidance of Prof. Santosh Sir. It is a music label and music web streaming platform which is a web-based application built around a single server that handles all major processing.

my-first-pr icon my-first-pr

This repository is for beginners to make their first Pull Request

nni icon nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

real-time-number-plate-recognition icon real-time-number-plate-recognition

This project is used to detect the license plate of the vehicle in real time, trained using Car Detection Licence Plate dataset available on Kaggle. Used yolov4 because it performs much better than traditional cv techniques and then used EasyOCR to extract text from the number plate. Please see readme for details.

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