parvaneh-aliniya Goto Github PK

aunet

Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

computer-vision-deep-learning-intro-papers

Collection of annotated papers (from ML in CV) for reference.

contextseg

This is the official repository for the publication https://arxiv.org/abs/2311.16682

diffmorpher

Official Code for DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing (CVPR 2024)

drlim

Implemention of Dimensionality reduction by learning an invariant mapping in CVPR2006

dsu-net-for-mass-segmentation-in-mammograms

Modified U-Net with a fewer number of parameters offering an improved performance for Mass Segmentation

fgsegnet

FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding

flight_scraper

Scraping flight prices from Kayak.com

gan_breast_mammography_segmentation

SegNet-cGAN and UNET-cGAN for Breast Mammography Segmentation

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

hausdorffloss

Implementation of Hausdorff loss function for DNN learning in segmentation tasks.

instructcv

Codebase for "InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists"

ldm_correspondences

Unsupervised Semantic Correspondence Using Stable Diffusion

mammography-models

Machine learning models for analyzing mammograms

mv-defeat

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

openbreast

Digital mammography processing tools

pectoral_muscle_groundtruth_segmentation

The ground truth segmentation for MIAS, INbreast and CBIS-DDSM subset datasets.

spr

Segmentation models with pretrained backbones. PyTorch.

transformaly

transunet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

unified-focal-loss