pytorch-cnn

Training and data loading scripts in PyTorch

A collection of small-scale projects that helped me learn the basics of the PyTorch framework

This project is a convolutional neural network (CNN) built using PyTorch that classifies images from the Fashion-MNIST dataset. The network consists of several layers including convolutional layers, pooling layers, and fully connected layers. The model achieved an accuracy of 92.1%

Advanced Computer Vision experiments covering image classification, transfer learning, object detection, OCR, and semantic segmentation.

This repository contains the source code and resources for the Emotion Detection project using Convolutional Neural Networks (CNN). It includes the model architecture, preprocessing scripts, training pipeline, and deployment files.

We use CNN to counthe number of fingers ✋ shown in photograph using Pytorch.

Project to find the facial keypoints on an image with a CNN using Pytorch.

Terminal only freeopenvpn connection script

Deep learning project using CNNs to classify fruit and tire images.

MNIST CNN in raw NumPy and PyTorch

An Image Classifier To Classify Flowers

audio/voice classification in pytorch implementations

Pytorch Model Quantization, Layer Fusion and Optimization

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

This repository contains REVISED code and associated files for the AI Programming with Python Nanodegree program

MoodLens AI is a deep learning framework that predicts emotion probability distributions from images using soft-label learning: because feelings aren't binary, they're beautifully messy. Built with PyTorch, FastAPI, and Streamlit.

My personal AI projects. All of them are .ipnyb files which are pytorch-dependant.