Sarthak Maini's repositories
Hate-speech-Detection
The task is a binary classification problem to classify the given dataset into two classes namely Hate Offensive tweets (HOF) and Non-Hate Offensive tweets (NOT). The task appeared as Subtask-A in HASOC 2021. The dataset taken is sampled from Twitter. It consists of twitter posts in Hindi and Hinglish language.
ACMMM_Supplementary
This repository contains the supplementary material for ACMMM submission titled "STORM: Evaluating SpatioTemporal Relevancy in Co-Speech Gestures"
Assembler-and-Simulator
This project was part of Computer Organization Course
AutoEncoder-using-MNIST-Dataset
The project contains the implementation of an AutoEncoder using the MNIST Dataset.
Bagging-Classifier-from-scratch
The project contains an implementation of Bagging Classifier from scratch without the use of any inbuilt libraries.
Face2Screen-Distance-Recommender
The program uses Computer Vision Library, OpenCV and Haar Cascade Frontal Face Classifier to calculate the distance between the face and the laptop screen and recommends appropriate action based on the distance.
Lost-People-Finder
A Webapp to find mission people and lost pets, implemented as a part of Face recognition challenge in Microsoft Engage 2022.
Student-Performance-Prediction-and-Analysis-for-low-resource-scenario
This project aims to predict student performance when there is less number of student records present. It basically addresses the problem of low to medium-sized schools and universities which want to create a performance prediction system for their students.
Will-Hero-Game-using-OOPS
An implementation of Will Hero Game using OOP Concepts with additional functionalities. Used multiple Animation Timers and controllers for the same.
Career-Advisory-System-with-forward-chaining-rules
This project makes use of the durable-rules module of python to create a career advisory system. The career advisory system uses forward chaining rules to advise the best careers for the individual.
Career-Predictor-using-Prolog
This is a project of Introduction to Intelligent Systems Course which uses prolog to predict the profession of individuals based on their inputs
Feed-Forward-Neural-Network-using-FMNIST-Dataset
The project contains the implementation of a Feed Forward Neural Network using Keras on the FMNIST Dataset.
first-contributions
🚀✨ Help beginners to contribute to open source projects
Gradient-Boosting-Classifier-from-Scratch
The project contains an implementation of Gradient Boosting Classifier from scratch. The implementation is performed using the MNIST dataset.
PTA-implementation-from-scratch
This project contains the implementation of Perceptron Training Algorithm (PTA) from scratch without the use of any inbuilt library.
SadTalker
[CVPR 2023] SadTalker:Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
Salary-Predictor
This program uses Logistic regression to predict whether the person will get High salary or Low Salary
Shopping-centre-management-program
This program is the first-course assignment of the Introduction to Programming course. It uses Python to tell the total price of the shopping cart, which includes items purchased from the hypothetical shopping store.
Similarity-Level-Prediction-on-the-STS-Dataset
Given a sentence pair, the project predicts from a range of 0-5 what is their similarity level, with 5 being the highest.
w3schools-test.github.io
w3schools.com repository used in demonstrating GitHub and GitHub pages