Sumedha Chugh's repositories

Lithography-Hotspot-Detection

Detected Hotspots in the Lithography process using Vision Transformers, Convolution Neural Networks and Artificial Neural Networks, and compared the results obtained using ANNs & CNNs

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Neural-Language-Generated-Text

Generated pseudo text using LSTMs (Long Short Term Memory networks) and GPT-2, evaluated how close this machine-generated text is to human-generated text by checking if they follow statistical features followed by human-generated text such as Zipf’s and Heap’s Laws for Words

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ANALYSIS-AND-CLASSIFICATION-OF-BIKESHARE-DATA

For bike-share system's dataset Explored Descriptive Statistics such as Popular times of travel, Popular stations and trip, Trip duration, User info counts etc. and Predicted if a user will but subscription or not using classifiers SVM, Gaussian NB, Random Forest and Decision Tree

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Charity_ML-Project

Evaluated and optimized different supervised learners to determine an algorithm that provides high donation yield while also reducing overhead cost of sending mails for a fictitious charity organization CharityML

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Classification-model-for-University-Admission-System-

Classification model for University Admission System

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DSA_udemy

codes taught in Data Structures and Algorithm course by Abdul Bari Sir @Udemy

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ES_Project

ULTRASOUND IMAGING SYSTEM FOR DIAGNOSTIC APPLICATIONS

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Python_Abdul_Bari

Python-udemy

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git_assignment_udacity

GitHub project (Project 3) repository for PDSND

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Investigate-Sakila-DVD-rental-Database-

The Sakila database holds information about a company that rents movie DVDs. Investigated this database using SQL to find out about months with the maximum and minimum rental count, least and most rented category of films, etc.

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Linear-and-Logistic-Regression

Linear Regression and Logistic Regression using Scikit-learn and Python and Comparing their results

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lithography_hotspot_detection

Lithography Hotspot detection using Deep Learning. Source code for the paper.

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ML_iiit

Phishing Detection

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Modeling-Uncertainty-Local-Explainability

Local explanations with uncertainty 💐!

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PAMI_Lab

Pattern Analysis and Machine Learning Lab

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PRML

PRML algorithms implemented in Python

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shap

A game theoretic approach to explain the output of any machine learning model.

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sumedhachugh

Config files for my GitHub profile.

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TAIS

Trustworthy AI Systems Paper Presentation

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text_generation

Notebooks to better understand text generation

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VLSI_Project

Structured Analysis of high dimensional FMR model

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