Intensity normalization of multi-channel MRI images using the method proposed by Nyul et al. 2000

A repository of links with advice related to grad school applications, research, phd etc

A Quick Guide on Radiology Image Pre-processing for Deep Learning Applications in Prostate Cancer Research

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences

Providing interactions between drugs and genes sourced from a variety of publications and knowledgebases

COCONUT (COlleCtion of Open Natural prodUcTs): A comprehensive platform facilitating natural product research by providing data, tools, and services for deposition, curation, and reuse.

A method to increase the speed and lower the memory footprint of existing vision transformers.

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

A collection of loss functions for medical image segmentation

SOTA medical image segmentation methods based on various challenges

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

Open source code for AlphaFold.

Use your Neovim like using Cursor AI IDE!

The Medical Imaging Interaction Toolkit.

Kolmogorov Arnold Networks

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

AIO Data Analyst is an all-in-one intelligent companion for analyzing your data. Easily analyze data, generate insights, and create visualizations with the power of AI.

The fastai book, published as Jupyter Notebooks

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …