End-to-end computer vision pipeline for real-time Rock-Paper-Scissors image classification using deep learning

Deep learning project for fruit classification with FastAPI REST API, modular code, and Docker deployment.

A repository for MLOps best practices, enabling scalable, reproducible, and maintainable machine learning projects

Implementing deep neural networks from scratch using NumPy.

Uncover ML's inner workings: build algorithms from scratch for profound understanding.

PolypX is a DeepLab v3+-based pipeline for training and evaluating polyp segmentation models on colonoscopy datasets

Repo for exploring and implementing various data structures.

Repo of solutions for competitive programming challenges in leetGPU with pytorch

Deep learning pipeline to detect emotions from audio with feature extraction, attention, augmentation, and visual insights

VisionCare deep learning pipeline for automated grading of Diabetic Retinopathy and Diabetic Macular Edema from retinal fundus images

My personal dotfiles rofi alacritty zsh neofetch

End-to-End ML projects with diverse deployment strategies.

Build and deploy a complete deep learning solution, from data preprocessing to model deployment.

AI-AGENT for recommendation courses depend on inputs

Repo for practicing problem-solving skills with code.

Brain tumor classification using deep learning, deployed with FastAPI.

Dive into the exciting field of deep learning and build NN.

Apply DQN on my custom environment

Explore reinforcement learning algorithms and environments, from classic to deep learning methods.

Q-learning and SARSA algorithms for solving the Taxi environment.

Explore object-oriented programming concepts using Python and C++.

Machine learning repository exploring various algorithms.

Git repository for storing and managing code projects, including version control and collaboration features.

Streamlit app for interactive data exploration and visualization.

Streamlit app for interactive data exploration and visualization.

Repository for practicing SQL queries and problem-solving.

Essential ML math concepts and code.