detectron2 backbone: resnet18, efficientnet, hrnet, mobilenet v2, resnest, bifpn

[EXPERIMENTAL] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

A simple TensorFlow 2 implementation of ResNet-18

Image classification done with Mindspore technology

This is a clean, opinionated and minimalist implementation of the training and evaluation protocols for a fancy new self supervised learning (SSL) method called maximum manifold capacity representations.

Classify Beatbox Genre using Mel Spectograms and Resnet18 Classifier

It is the image classification task to classify Diabetic-Retinopathy category using ResNet18, ResNet50 pretrained model. which is related to kaggle competition. The kaggle competition link can found below. https://www.kaggle.com/c/diabetic-retinopathy-detection#description

First capstone project I worked on as part of the 'Programming in Python for AI' nanodegree at Udacity.

🔪 Elimination based Lightweight Neural Net with Pretrained Weights

Bird Species Classification Using Transfer Learning

Rice Species Classification using ResNet-18 and a Custom defined CNN, both using PyTorch. If you are getting started with PyTorch, then you may consider cloning this repo and start learning :)

Tumor detection and classification from abdominal ultrasound images using CenterNet with Contrastive Learning.

ResNet18 model for image classification using Jupyter notebooks

Detect if a driver is drowsy or not using a face detector and eye classifiier.

Collision Avoidance Strategies with Jetracer Pro AI Kit.

SkinNet Analyzer: A Deep Learning-Based Skin Disease Detection System - College Final Year (4th year) Project

SignifyAI is a deep learning–powered project that translates American Sign Language (ASL) gestures into English text in real-time. It features a web-based interface for image uploads, live webcam gesture recognition, and interactive feedback.

AI based security system!

DeepLab v3+ and Floral-Net, a U-Net inspired CNN, for segmenting flowers and backgrounds in the Oxford Flower Dataset, enhancing accuracy through tailored architecture and class imbalance handling.