George Batchkala (GeorgeBatch)

GeorgeBatch

Geek Repo

Company:University of Oxford

Location:London, UK

Home Page:https://www.linkedin.com/in/george-batchkala/

Twitter:@GBatchkala

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George Batchkala's repositories

kvasir-seg

[MediaEval Medico Challenge'2020]: Polyp Segmentation

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TCGA-lung-histology-download

Downloading and Creating labels for the TCGA lung Whole Slide Images

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simpsons-classification

Image Classification Coursework: Classifying Simpsons Over the Past 25 Years

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ultrasound-nerve-segmentation

Undergraduate Research Project: "Ultrasound Nerve Segmentation" Kaggle Competition (2016)

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moleculenet

MSc Dissertation: Estimating Uncertainty in Machine Learning Models for Drug Discovery

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TCIA-CPTAC-lung-histology-download

Unofficial Instructions for downloading TCIA-CPTAC Pathology Images Lung Cohorts: LUAD, LSCC (aka LUSC)

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active-data-enrichment

[MICCAI'2022] CaPTion workshop: Active Data Enrichment by Learning What to Annotate in Digital Pathology

arch-pre-training

ARCH pre-training: reproducing results from Multiple Instance Captioning: Learning Representations From Histopathology Textbooks and Articles

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TCGA-lung-download-GD

Scripts for downloading WSI-TCGA-LUNG from Google Drive using gdown

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AB-Testing

A/B Testing — A complete guide to statistical testing

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AttentionDeepMIL

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

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cocoapi

Multi-label Binary Classification on COCO Dataset @ http://cocodataset.org/

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dependency-mil

[ISBI 2024] Accurate Subtyping of Lung Cancers by Modelling Class Dependencies

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dsmil-wsi-public-fork

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

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engineering-class

Lightning Bits: Engineering for Researchers repo

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introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python". GeorgeBatch: scripts used while going through the book during summer 2018.

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openai-cookbook

Examples and guides for using the OpenAI API

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PythonIntro2020

This is an introductory Python course I am running for the 2019 Health and Data Science CDT at Oxford University.

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PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

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RadPathFusionLung

Repository contains code that allows the registration of histology slices and CT in the context of lung cancer.

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super-gonorrhoea-pathogen-sequencing

A tutorial written for the University of Oxford DPhil in Healthcare Data Science

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tiatoolbox

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

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tile-generation-scripts-andrea

Code from Andrea Chatrian for extracting patches/tiles from histology images.

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UNI

Towards a general-purpose foundation model for computational pathology - Nature Medicine

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