ai_all_resources

A curated list of Best Artificial Intelligence Resources

algorithms_4e

anirudh6415

anirudh6415.github.io

anynet

This is a Modified repository, it is based on the original "Anytime Stereo Image Depth Estimation on Mobile Devices" by Yan Wang, Zihang Lai, Gao Huang, Brian Wang, Laurens van der Maaten, Mark Campbell, and Kilian Q. Weinberger. The original work has been accepted by the International Conference on Robotics and Automation (ICRA) in 2019.

cad-pe-segloc

"CAD-PE-SegLoc: Computer Aided Detection for Pulmonary Embolism - Segmentation (UNet) and Localization (Faster R-CNN)"

clustering_xray-s

This repository contains code for clustering X-ray images using the K-Means algorithm. The dataset used for this project consists of flipped X-ray images, and the clustering is performed to group similar images together.

colon_seg_class

This repository presents a comprehensive analysis of colonoscopy images using the UNet architecture for both classification and segmentation tasks. The dataset used for this project includes images from the CVC dataset and ASU Mayo Colonoscopy data.

computervision_models_2023

This is an unoffical implementation of model for just classification. You can also change it as backbone for Segmentation/Detection by make it to output from 3 layers.

experiments

CSE598 : Perception In Robotics

gwcnet

This is the implementation of the paper Group-wise Correlation Stereo Network

islp_learning

Welcome to the ISLP Exercise repository! This repository contains my hands-on exercises related to the book "Introduction to Statistical Learning with Python" concepts implemented in Python using Jupiter Notebooks.

jsrt_unet

This project implements an instance segmentation model using the UNET architecture to precisely identify and segment lungs and heart structures in medical images from the JSRT dataset. The goal is to provide accurate delineation of these organs, aiding in medical image analysis and diagnosis.

mangodb

ml_learning

nih-cxr-swin

A deep learning repository for NIH Chest X-ray classification using Swin Transformer architecture.

pe-ct-classification-swintransformer

An end-to-end solution for Pulmonary Embolism (PE) classification in CT scans using the cutting-edge Swin Transformer model.

python

pytorch_for_deeplearning

resnet-for-mnsit

robotics_matlab

ros_basics

Learn basics of ROS and its programming concepts

yolov8-on-argoversehd-object-detection

we will dive deeper into the experimental setup, highlighting the key steps involved in training and evaluating the YOLOv8s and YOLOv8m models on the Argoversehd dataset. We will discuss the training process, including data preparation, model configuration of YOLOv8 in the context of object detection on the Argoversehd dataset.