Discover SubhamIO/Automatic-Face-Recognition Open Source project

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Created over 5 years ago
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Image-Captioning-using-Attention-Mechanism-Local-Attention-and-Global-Attention-

Implemented Image Captioning Model using both Local and Global Attention Techniques and API'fied the model using FLASK

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Named-Entity-Recognition-using-ELMo-BiLSTM

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Emotion-Recognition-in-Conversation

Here we will predict the emotions from dialogues using Machine Learning and Deep Learning techniques

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Calibration-Techniques-in-Machine-Learning

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Face-Recognition-in-Live-Stream-using-VGG-16

Python

Build-Train-and-Deploy-ML-Models-using-AWS-Sagemaker

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Stock-Market-Prediction-using-LSTM

Predict whether to sell or buy the stocks based on past data trend from NIFTY 50 wiki page web-scraped data

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Data-Structures-and-Algorithms-Code-Notes

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PySpark-in-action

Dealt with Regression and MultiClass Classification problems using PySpark

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Image-Augmentation---imgaug

Perform Image Augmentation using "imgaug" python library

Python

AnomalyDetection---Deep-AUTOENCODERS

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YOLO-V3-Object-Detection-in-Realtime-Video-Stream

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Build-and-Deploy-an-Machine-Learning-Model-using-AWS-and-API-s

Build an API for your Machine Learning application using Flask and Deploy it in AWS

Python

Self-Driving-Car

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House-Price-Prediction

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Netflix-Movie-Recommendation-System

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Approach-any-NLP-problem

Using state-of-the-art techniques to tackle any NLP problem

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Entity-Matching

Match names of hotels with good precision

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ML-Training-Basic-to-Advanced-

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Summarizer_Gramformer_Paraphraser_Styleformer

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StackOverflow-Tag-Predictor

StackOverflow Tag Predictor

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DonorsChoose

DonorsChoose.org

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GRAKN-KnowledgeGraphs

Python

Amazon-s-Apparel-Recommendation-System

Amazon's Apparel Recommendation System

TopicModelling_using_LDA_and_Bertopic

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KERAS-on-MNIST-dataset

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Digit-Recognizer

Recognizes Hand-Written Digits(example: Digit written on a white paper)

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Sales-Demand-Prediction

Python

simple-dvc-demo

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Telecom-Deliquency-Model

Created a delinquency model which can predict in terms of a probability for each loan transaction, whether the customer will be paying back the loaned amount within 5 days of insurance of loan (Label ‘1’ & ’0’)

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Document-Classification-using-Deep-Learning

To download the dataset : https://www.cs.cmu.edu/~aharley/rvl-cdip/

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Deploy-ML-Flask-WebApi-using-Kubernetes

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Personalised-Cancer-Diagnosis

Personalised Cancer Diagnosis

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HackerEarth-Challenge-On-the-Plague-Trail

HackerEarth Challenge

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DiabetesPrediction_Deployed-Heroku

https://diabetes-specialist.herokuapp.com/

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Human-Activity-Recognition-Deep-Learning-

Human Activity Recognition using Deep Learning

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Beer-Rating-Prediction

Build a Machine Learning model which predicts the overall rating of the beer. (“review/overall” column in “train.csv” is your dependent variable.)

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Local-to-S3-File-Upload-FLASK-WebApp-

Python

TimeSeriesForecasting-ARIMA-SARIMA

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Pymongo---MongoDB-with-Python

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Deploy-ML-Flask-WebApi-using-Docker

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IPL-First-Inning-Score-Predictor

To predict the score range for the first Innings (Regression setup) : https://ipl-1stinnings-score-predictor.herokuapp.com/

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Covid-19-VizApp

HTML

Quora-Question-Pair-Similarity

Quora Question Pair Similarity

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Live-Sketch-using-OpenCV

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RestAPI-Demo

Python

Type-of-Lentil-and-Nuts---Deep-Learning

Image Classification - Classify the type of Lentils and Nuts

Python

Stock-Price-Prediction-using-LSTM

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Music-Generation-using-Deep-Learning

Music Generation using Deep Learning

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coursework---diabetes-prediction

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YOLOV3-Object-Detection-in-Images

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mlops_main

Makefile

PYCARET-in-action

PyCaret is an open source, low-code machine learning library in Python that allows you to go from preparing your data to deploying your model within seconds in your choice of notebook environment .

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License_plate_recognition_deeplearning-CNN-

Used VGG-16 model architecture

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Loan-Defaulter-Prediction

Problem Statement : The Bank Indessa has not done well in the last 3 quarters. Their NPAs (Non Performing Assets) have reached all time high. It is starting to lose the confidence of its investors. As a result, it’s stock has fallen by 20% in the previous quarter alone. After careful analysis, it was found that the majority of NPA was contributed by loan defaulters. With the messy data collected over all the years, this bank has decided to use machine learning to figure out a way to find these defaulters and devise a plan to reduce them. This bank uses a pool of investors to sanction their loans. For example: If any customer has applied for a loan of $20000, along with the bank, the investors perform due diligence on the requested loan application. Keep this in mind while understanding data. In this challenge, you will help this bank by predicting the probability that a member will default.

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Mail-Autocomplete---Deep-Learning

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SubhamSarkar-PortfolioWebsite

This is my Portfolio Website

HTML

SubhamIO/Automatic-Face-Recognition

SubhamIO

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