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attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

best-readme-template

An awesome README template to jumpstart your projects!

cam-4m17

cam-4m17-normapproximation

cam-kaggle-ml-major

cam-toroidal-smooth-lstms

Improving Interpretability and Generalisation in Deep Learning. Thesis work for the MPhil in Machine Learning, Speech and Language Recognition at University of Cambridge, Engineering Department.

centralized-repository-shipping_calculations

Centralized-repository-shipping_calculations

colorness

Code to compute the color-ness of an image

concept_discovery_svd

Automatic identification of regions in the latent space of a model that correspond to unique concepts, namely to concepts with a semantically distinct meaning.

conceptattribution

With this library you will be able to apply concept attribution to your task. You will find the functions to compute concept measures on your data, to learn the regression concept vectors and to generate concept based explanations.

ext_flawed_models

Extension of the experiments on intentionally flawed models

github-final-project

Coursera assignment SE4R

imimic-rcvs

This repository contains the code for implementing Bidirectional Relevance scores for Digital Histopathology, which was used for the results in the iMIMIC workshop paper: Regression Concept Vectors for Bidirectional Explanations in Histopathology

imvip2019

This reporitory contains the code for replicating the experiments in "Visualizing and interpreting feature reuse of pretrained CNNs for histopathology", submitted as a short abstract at IMVIP2019.

intentionally_flawed_models

This repository contains the scripts to replicate the experiments in Interpreting Intentionally Flawed Models with Linear Probes

interpretabilityvisum22

Hands-on session on Interpretable AI at the VISUM Summer School 2022

interpretablewsitornaseq

An interpretable approach based on trainable attention that identifies which regions in H&E slides of colorectal cancer are the most informative about RNA transcriptomics

interpretai_digipath

Hands-on Sessions 1 and 2 at the Building Interpretable AI for Digital Pathology AMLD workshop 2021

interpretcovid

Repo to apply interpretability methods on COVID image classification

intro-interpretableai

Repository of the main source code for the assignments of the "Introduction to interpretable AI" course

jbbmo-introduction-to-git-and-github

Introduction to Git and GitHub

lab-agile-planning

logisticsshippingrates

Assignments Coursera

maragraziani.github.io

Personal Website

medgift-kerasaugmentation

Improved Data Augmentation for CNN training with keras.

medgift-visbreasthist

Visual interpretability for patch-based classification of breast cancer histopathology images. (in review)

miccaihackathon_shifts

multitask_adversarial

Repository for our work on multi task adversarial CNNs

process_uc1

UC1 for PROCESS-project. The use case tackles cancer detection and tissue classification on the latest challenges in cancer research using histopathology images, such as CAMELYON and TUPAC.

rcvtool