developed a model that can detect pneumonia from Chest X-Rays of the patient which has a significant level of accuracy in detecting pneumonia in comparison with practicing radiologists.

Computer Vision problem

Traditional Machine learning and Deep learning approaches to classify Search for extraterrestrial intelligence Signal

ResNet Comparison for Garbage Image Classification with PyTorch - models trained on GPU, then pickled for analysis on CPU

Fall 2021 Introduction to Deep Learning - Homework 2 Part 2 (face classification, face verification)

A traffic light detector module that utilizes Faster R-CNN ResNet101 (COCO)

Deep Learning classification of chest x-rays using multiple transfer learning methods

Implemented pose aware face recognition network to Improve the performance of face recognition task for the faces at extreme joint pitch and yaw view angles.

Based on a clothing picture and your choices, the app provides you suggestions about your outfit.

in this repo, you will find implementation of various classification models, data augmantation ,cnn designing and model reguralization

Check the effect of quantization on ResNets architecture

example of segment-anything and detr-resnet-101 with fastapi

A vector search engine for efficient similarity matching using feature maps for images

This repository hosts all the scripts used in the implementation of bird detection models. We are using Convolutional Neural Networks(CNN)'s Faster R-CNN, Single Shot Detector(SSD), and YOLOv3 meta-architectures while utilizing ResNet-101, MobileNet, Inception ResNet v2 and VGG-16 feature extraction Networks (backbone network).

Training model to detect Pneumonia from chest X-ray images

Object Detection in Twilight

numpy resnet101 implementation

An image recognition project to detect all sunset/sunrise images with machine learning and SVM in 5000+ images.

This is an implementation of ResNet using keras.