clecarosc

clecarosc's Stars

• facebookresearch/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.

  Language:Jupyter Notebook47.8k3086745.7k

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook26.8k1.4k2457.9k

• HumanSignal/label-studio

  Label Studio is a multi-type data labeling and annotation tool with standardized output format

  Language:JavaScript19.5k1772.3k2.4k

• qinwf/awesome-R

  A curated list of awesome R packages, frameworks and software.

  Language:R6k414261.5k

• mitmath/1806

  18.06 course at MIT

  Language:Jupyter Notebook2.6k1336685

• seankross/the-unix-workbench

  :house_with_garden: A Book for Anyone to Get Started with Unix

  Language:CSS1.3k18162.3k

• MikeMcQuaid/GitInPractice

  📖 An opinionated intermediate/advanced Git book

  1k275105

• yingkaisha/keras-unet-collection

  The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

  Language:Python6671365185

• DebeshJha/2020-CBMS-DoubleU-Net

  Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))

  Language:Python23981669

• DebeshJha/ResUNetPlusPlus

  Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)

  Language:Python18151541

• DebeshJha/ResUNetPlusPlus-with-CRF-and-TTA

  Official implementation of ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

  Language:Python1246424

• oanegros/MicroscopyNodes

  Loading and handling microscopy data in blender

  Language:Python1015508

• google-research-datasets/scin

  The SCIN dataset contains 10,000+ images of dermatology conditions, crowdsourced with informed consent from US internet users. Contributions include self-reported demographic and symptom information and dermatologist labels. The dataset also contains estimated Fitzpatrick skin type and Monk Skin Tone.

  Language:Jupyter Notebook81729

• cj-holmes/vhs

  Colour palettes based on blank VHS cassette packaging design

  Language:R16200

• ptschandl/dermatoscopy_resnet34_nmed_2020

  Research model for classification and feature extraction of dermatoscopic images

  Language:Python14106

• ISIC-Research/ADAE

  SIIM/ISIC 2020 Challenge Winning Algorithm (All Data Are Ext)

  Language:Python13404

• piashiba/HIBASkinLesionsDataset

  Exploratory data analysis of the Hospital Italiano de Buenos Aires Skin Lesions dataset shared through the ISIC Archive. The dataset is available at https://doi.org/10.34970/432362

  Language:Jupyter Notebook13101

• ISIC-Research/2020-Challenge-Curation

  Scripts written and applications developed in preparing the contextual dermoscopic image database for the SIIM-ISIC Melanoma Classification competition. The competition was hosted on Kaggle during the Summer of 2020 https://www.kaggle.com/c/siim-isic-melanoma-classification).

  Language:R11103

• tchanda90/Derma-XAI

  Language:Jupyter Notebook2001

• UTHealth-Ontology/DEVO

  Dermoscopy Elements of Visuals Ontology (DEVO)

  2100

• biswajitcsecu/Melanoma-segmentation-using-deep-learning

  This code proposes a novel deep learning-based, fully automated approach to skin lesion segmentation, including sophisticated pre and postprocessing approaches. We use three deep learning models, including UNet, deep residual U-Net (ResUNet), and improved ResUNet (ResUNet++).

  Language:Jupyter Notebook130

• DBO-DKFZ/3d-histo

  Scripts for 3d reconstruction from histological slices

  Language:Python1100