Aayushktyagi

MHFAN

Cell localization and counting: 1) Exponential Distance Transform Maps for Cell Localization; 2) Multi-scale Hypergraph-based Feature Alignment Network for Cell Localization; 3) Lite-UNet: A lightweight and efficient network for cell localization

BoxCell

Official Repo for "Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images"

SAM4MIS

Segment Anything Model for Medical Image Segmentation: paper list and open-source project summary

fiftyone

The open-source tool for building high-quality datasets and computer vision models

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

PyTorch-Simple-MaskRCNN

A PyTorch implementation of simple Mask R-CNN

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

DeGPR

mask-auto-labeler

Segmentation-Metrics-PyTorch

Calculate common metrics in semantic segmentation, PyTorch Implementation

Transformers-Tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

torchstain

Stain normalization tools for histological analysis and computational pathology

MAE

PyTorch implementation of Masked Autoencoder

MAE-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

pytorch-siamese-triplet

One-Shot Learning with Triplet CNNs in Pytorch

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

DTC

Semi-supervised Medical Image Segmentation through Dual-task Consistency

PlotNeuralNet

Latex code for making neural networks diagrams

cocoapi

COCO API - Dataset @ http://cocodataset.org/

miccai2020_self_sup_nuclei_seg

Self-supervised nuclei segmentation (MICCAI 2020)

Nuclei-detection_detectron2

detr

End-to-End Object Detection with Transformers

medical-imaging-datasets

A list of Medical imaging datasets.

keras-attention

Keras Attention Layer (Luong and Bahdanau scores).

keras-self-attention

Attention mechanism for processing sequential data that considers the context for each timestamp.

keras-io

Keras documentation, hosted live at keras.io

bio-ner

Biomedical Named Entity Recognition and Normalization of Diseases, Chemicals and Genenetic entity classes through the use of state-of-the-art models.

pytorch-image-classification

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

workshops

Materials for workshops on the Hugging Face ecosystem