Ritesh Raman Aryan's repositories
Name_Entity_Recognition
This repository contains model for NER trained on clinical data to extract names of diseases from unstructured text. Named-entity recognition (NER) (also known as entity extraction) is a sub-task of information extraction that seeks to locate and classify named entity mentions in unstructured text into pre-defined categories such as the person names, organizations etc.
Attendence_Automation
Built to automate the attendance procedure of any institution via camera. Automates the attendance by facially recognising multiple faces in a single frame of a snap/video stream
Image_Classification_VGG16
Deep Learning Image Classification model ,VGG16 implemented from scratch using custom modelling in keras, to classify images of dog and cats among their respective classes..
My_Flask_Bootcamp
A repository created to learn flask from scratch for my reference but do feel free to check it out and any suggestions is welcomed...!!
Text-Summarization-Using-T5
perfroming abstractive text summariztion task using T5, and serving it via REST API
Bank_Note_Authentication_App
A basic web app deployed at heroku, which classifies whether a note is fake or not based on certain parameters. Using Supervised machine learning.
Finding-Donors
Application of supervised learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause.
Fun_with_Automation
Some of Scripts which I have written in python to automate some day to day tasks.
Machine_Learning_Crash_Course
A repository to understand the basic functionalities of python libraries like numpy , pandas etc.
Plant_Disease_Prediction
An end to end application which predicts whether the cotton plant is a diseased plant or leaf or a fresh cotton plant or leaf.
TensorFlow-In-Practise-Specialization-Coursera
This repository contains the solution of the assignments and quizzes for the four Courses Specialization - Tensorflow in practise Specialization on Coursera
Text-Similarity-Using-BERT
End to End NLP text similarity project, using kaggle Quora Dataset , served as a REST API via Flask
Warehouse_Apparel_Detection
End to end object detection project using YOLOV5 and serving as a REST API using Flask
Cards_Detection_Using_FASTER-RCNN
End to end object detection project using Faster RCNN, trained using TFOD1.14 framework and served as REST API via Flask App
Entity-Extraction-Bert
performing name entity recognition also known as NER, on a kaggle dataset,and serving it using flask API
Jigsaw-Toxic-Comment-Classification
Identify and classify toxic online comments,based on kaggle dataset
Text_Extraction_AKA_Question_Answering_BERT
Performing Text Extraction also known as Question-Answering using BERT,and serving it Via REST API.
Basics-Data-Structures-And-Algorithms
This repository consists of some basic data structures and algotithms in C++. Any contribution and suggestion is welcomed.
Chess_Piece_Detection_Using_SSD
End to End object detection project using SSD, and serving it as REST API using Flask framework
competitive_vibes
This Repository consists of all the programming questions that I solved on hackerearth and codechef, for my reference. But feel free to check it out , if possible please contribute to make it better.
Creating-Customer-Segments
Application of un-supervised learning techniques and analytics that identifies customer segments hidden in the data to assist with future service changes.
Deep_Learning_Crash_Course
A collection of all the scripts and Notebooks that I did while Learning Deep Learning
Design-Patterns-Python
Implementation of common design patterns in python
Pig-Dice-Game
One of the basic dice rolling game that i made while learning basics of javascript , feel free to check it out
Sentiment_Analysis_BERT
Perform a Sentiment analysis using BERT on IMDB Movie Ratings Dataset.
Social-Blog
My first blog page created using flask
Tweet_Sentiment_Analysis
Tweet Sentiment Analysis end to to end implementation, based on kaggle dataset.