Sunil S. Singh's Projects
A multi-layer-perceptron (MLP) or an artificial neural network (NN) from scratch using only NumPy to forecast the number of customers a bike share shop might anticipate on a certain day.
Build, train and compare performances of multiple binary classification machine learning model techniques to detect credit card fraudulent transactions.
A simple blog application using Django, HTML and tailwindcss
A comparative study and evaluation of face-mask detecting image classification models utilizing various deep-learning, shallow-learning, and hybrid methodologies.
A neural network based classifier build using PyTorch to categorize clothing photos from the Fashion MNIST dataset.
πβ¨ Help beginners to contribute to open source projects
An app where Math Meets Marvel with AI Wizardry for Primary School Prowess! π§βπβ¨
A Neural Network based classifier, build using PyTorch, to categorize hand-written digits (0-9) images from the MNIST dataset.
A HR dashboard built on Streamlit that analyzes raw data to gain knowledge about how well organizational policies affect staff promotions and layoffs as well as employee behaviors like attrition and job satisfaction.
An app for classifying/tagging a given image of a famous landmark using CNN
A Generative Adversarial Network (GAN) trained on the MNIST dataset, capable of creating fake but realistic looking MNIST digit images that appear to be drawn from the original dataset.
A Natural Language Processing (NLP) based a movie recommender app
A fun App demonstrating API use cases
This App demonstrates the text-paraphrasing NLP functionality.
This app demonstrate NLP techniques used in real-world use cases, such as NER & POS , Text Summarization and Text Classification
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A PowerBI dashboard to analyze raw sales data from a multinational pharmaceutical manufacturing company and get insights into the performance of the sales team, customers, and distributors.
A Large Language Model (LLM) Based App to Generate Stories from Pictures
A PowerBI dashboard to explore the raw sales data for an online retailer of bicycles and bicycle components in order to obtain insights into its sales performance, customers, and products.
Config files for my GitHub profile.
Streamlit β A faster way to build and share data apps.
Simple App to Demonstrate Streamlit Performance with Large dataset
A DC-GAN-based Generative Neural Network trained on the Street View House Numbers (SVHN) and Large Scale CelebFaces Attributes (CelebA) datasets. The network learns to generate fake street-house-number images and celebrity-face images for the respective datasets, giving the impression that they were taken directly from the real datasets.
An RNN-based Neural Network that uses PyTorch to learn from a specified book or TV/film script and then generate text that appears to have come from the source
Text classifiers based on NaΓ―ve Bayes and Logistic Regression classification algorithms to process raw tweets and determine whether they carry a positive or negative sentiment.