Image Processing and classification using Machine Learning : Image Classification using Open CV and SVM machine learning model

Numpy from-scratch implementation of ML Algorithms: Kernel Perceptron, kNN, MLP, and more

Official code for "LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias" (ICLR 2025 Oral)

Training and Evaluation of two multi-label models. Applied on stack overflow question title to predict a set of tags

This is a basic implementation of a resume screening model using machine learning techniques

Identifying handwritten digits with a single layer perceptron based multi-class linear regression model.

This project demonstrates multiclass classification using Perceptron and Logistic Regression, implemented from scratch without using built-in libraries. It includes techniques like One-Versus-The-Rest and One-Versus-One for Perceptron, and Softmax for Logistic Regression, with a focus on understanding core ML concepts.

This repo is Homework-02 of EE-559(Machine Learning I: Supervised Methods) completed at USC.

Custom implementations of classification algorithms, including k-nearest neighbors for binary and multi-class problems, a perceptron for binary classification, and a one-vs-rest strategy for extending the perceptron to multi-class scenarios.

Algorithms and implementations to participate in Kaggle YouTube-8M Video Understanding Competition