leonadoan Goto Github PK

ann_model_for_breast_cancer_diagnosis

bimcv-covid-19

Valencia Region Image Bank (BIMCV) that combines data from the PadChest dataset with future datasets based on COVID-19 pathology to provide the open scientific community with data of clinical-scientific value that helps early detection of COVID-19

breastcancersurvivalintegration

captum

Model interpretability and understanding for PyTorch

clear

Counterfactual Local Explanations of AI systems

cosmonet

A R package for survival analysis using screening-network methods

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

covid-net

COVID-Net Open Source Initiative

covid19_critically_ill

Trained model and inference code for early triage of critically-ill COVID-19 patients.

cox-pasnet

Pathway-based sparse deep neural network for survival analysis

credit_card_fraud_detection

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

fastai

The fastai deep learning library

frauddetection

Accounting Fraud Detection Using Machine Learning

hrv-covid19

COVID-19 and Wearables Open Data Research

iclr2023-openreviewdata

ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference

interpret

Fit interpretable models. Explain blackbox machine learning.

interpreting-machine-learning-models

Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc

learn_data_visualisation

leonadoan.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

lnn

A `Neural = Symbolic` framework for sound and complete weighted real-value logic

mdnnmd

An implementation of multimodal deep neural network, a new model for human breast cancer prognosis prediction.

medical-imaging-datasets

A list of Medical imaging datasets.

ml_tutorial

This is the tutorial for end-to-end ML project. I use google colab notebook and Python to demonstrate this example

mogonet

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

monai

AI Toolkit for Healthcare Imaging

multimodal-deep-learning

This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.

multimodal-recurrence

Code accompanying the paper "Multimodal fusion of imaging and genomics for lung cancer recurrence prediction" - Vaishnavi Subramanian, Minh N. Do, Tanveer Syeda-Mahmood (ISBI 2020)

multimodalprognosis

Deep Learning with Multimodal Representation for Pancancer Prognosis Prediction

multisurv

Multimodal deep learning model for long-term cancer survival prediction