srinidhiPY

SSL_CR_Histo

Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.

ICCV-CDPATH2021-ID-8

Official code for "Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology", ICCV, 2021, CDpath Workshop (Oral).

PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

tiatoolbox

Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

BIRADS_BERT

CMC

pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

CoNIC

CoNIC Challenge

deep-learning-wizard

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

DeepLIIF

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22]

fairscale

PyTorch extensions for high performance and large scale training.

faiss

A library for efficient similarity search and clustering of dense vectors.

h-nne

A fast hierarchical dimensionality reduction algorithm.

histocartography

Histocartography is a framework bringing together AI and Digital Pathology

hooknet

hover_net

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

MICCAI2021-OpenReviewAnalysis

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

pathml

Tools for computational pathology

pathology-artifact-detection

Quality control of whole-slide images through multi-class semantic segmentation of artifacts

pipreqs

pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

python-fire

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

pytorch-unet

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

RadImageNet

RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning for medical imaging applications.

RLNLocalization

Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

shields

Concise, consistent, and legible badges in SVG and raster format

srinidhiPY.github.io

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.