A hands-on project for forecasting time-series with PyTorch LSTMs. It creates realistic daily data (trend, seasonality, events, noise), prepares it with sliding windows, and trains an LSTM to make multi-step predictions. The project tracks errors with RMSE, MAE, MAPE and shows clear plots of training progress and forecast results.

Hand tracking application developed in Pytorch

Here I will keep track of all the exercises and contents learned while reading the book "Hands-On Machine Learning with Scikit-Learn and PyTorch" by Aurélien Geron.

Real-time ASL alphabet recognition using MediaPipe hand tracking and a PyTorch neural network. Deployed as a web app.

Hands-on MLOps tooling study: WandB vs MLflow side-by-side using PyTorch + FashionMNIST. Covers experiment tracking, metric logging, model artifacts, and visual analysis. More tools added as studied.

This project documents my complete hands-on journey through Learn PyTorch for Deep Learning, covering everything from fundamentals to model deployment. It includes modular code, custom datasets, transfer learning, experiment tracking, and Gradio-based deployment. The repository is designed as a professional showcase of my PyTorch skills and DL.

🔥⚡️ Learn PyTorch in <2 weeks! From Zero to Mastery course offers a fast-track journey into deep learning. Master fundamentals, workflow, neural networks, computer vision, custom datasets, modularization, transfer learning, and complete projects. Hands-on examples and 🚀 projects for accelerated PyTorch proficiency!

Phantom Keys turns your hands into a full piano — no keys, no sensors, just motion. Track all five fingers in real time, play velocity-sensitive notes, and watch the keys glow as you gesture. Powered by PyTorch + CUDA for instant, seamless performance.

MonoCam FingerTouch using Mediapipe (Hand Tracking) & Pytorch (LSTM based Gesture Recognition)

A real-time hand gesture recognition system built with a CNN, leveraging MediaPipe for hand tracking and PyTorch for model implementation.

game for quest 2 or better, using Unity 6.1, Meta XR, Barracuda, PyTorch, Hand Tracking

Real-time American Sign Language translation using MediaPipe hand tracking and a PyTorch MLP — bridging communication through computer vision.

Real-time AR ball interaction system using MediaPipe hand tracking and a PyTorch gesture classifier. Grab, throw, and interact with physics-based virtual balls through natural hand gestures captured via webcam.

Real-time hand tracking and gesture detection system using YOLOv5, PyTorch, and OpenCV. Optimized for high-speed inference and precise bounding box accuracy.

To keep track of code, created while doing the Hands-On Machine Learning with Scikit-learn and Pytorch book.

Python program (OpenCV, PyTorch that can track eye movements and translate them to the cursor on the PC's screen. Also includes a gesture tracking feature which can track the hand and watch for gestures to control scrolling, zooming, clicking.

A real-time Sign Language Recognition system using Computer Vision and Deep Learning. Built with MediaPipe for hand tracking and PyTorch for classifying gestures like "Hello", "Thanks", and "Please" via webcam.

A collection of hands-on workshops on distributed AI and HPC workflows, covering multi-GPU training, hyperparameter optimization, and experiment tracking using tools like PyTorch, DeepSpeed, Ray Tune, and MLflow on Slurm-based clusters.

This repository documents my personal process of learning PyTorch from tutorials and hands-on projects. It tracks my understanding of deep learning concepts, neural network architectures, and model training.

Real-time object detection and classification application built using Streamlit, OpenCV, and PyTorch. The project integrates YOLO for facial component detection and a CNN model for hand gesture classification. It enables real-time tracking and recognition of facial landmarks and hand gestures via webcam, providing an interactive interface for user

A private repository to learn and track progress with PyTorch. Includes notes, hands-on examples, and experiments on tensors, autograd, neural networks, and more. Designed as a personal resource to build a strong foundation in PyTorch and document learning milestones.

Hands-on projects and exercises from the Mastering OpenCV with Python course. Covers classical image/video processing, color segmentation, contour analysis, lane detection, augmented reality, deep learning integration (TensorFlow, PyTorch), object detection & tracking, OCR, super resolution, and cloud deployment with Streamlit on GCP/AWS/Azure.

Projects from DataCamp’s Machine Learning Fundamentals skills track. Includes predictive modeling, clustering, and reinforcement learning using scikit-learn, PyTorch, and Gymnasium. Showcases hands-on ML skills across real-world scenarios in supervised, unsupervised, and RL.

A PyTorch-based CNN project for hand sign recognition. Loads and preprocesses sign image datasets, trains a convolutional model on GPU/CPU, tracks train/validation loss and accuracy, and predicts new images. Uses custom Dataset/DataLoader for efficient handling and visualization of results.

This repo tracks my 3-month Artificial Intelligence (Machine Learning & Deep Learning) course under Pakistan's NAVTTC Prime Minister’s Hunarmand Program "Skills for All". Covers core AI/ML concepts, hands-on projects, NLP specialization, Microsoft Azure AI, and tools like Python, TensorFlow, PyTorch, Keras.

Air Writing Tetris is a computer vision project that replaces the keyboard entirely. Your webcam watches your hand, MediaPipe tracks your finger in real-time, and a custom-trained PyTorch CNN classifies whatever shape you drew in the air into one of the 7 classic Tetris pieces.

This project integrates PyTorch and PySide6 to provide a hands-on environment for learning and experimenting with Convolutional Neural Networks (CNNs). It combines model training with an interactive graphical interface, making it easier to visualize the training process, track model performance, and understand how CNNs work internally.

An interactive Computer Vision application built with Python, OpenCV, and MediaPipe. It tracks hand gestures in real-time to allow users to draw on a digital canvas using their index finger. Features include multi-color brushes and a PyTorch-powered backend to recognize handwritten digits directly from the air.

EcomVoiceBot is an AI-powered Hindi voice assistant for e-commerce customer support. It offers speech recognition, intent classification, and text-to-speech for seamless interactions. Users can track orders, get refunds, and search products using voice. Built with PyTorch, IndicBERT, FastAPI, and Google TTS, it enables smart, hands-free support.