multiple-instance-learning
There are 72 repositories under multiple-instance-learning topic.
Modality-wise-Multple-Instance-Learning
The repository contains our implementation for the work to be presented at Ubicomp 2022
DGR-MIL
Code for paper: DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
MAD-MIL
Multi-head Attention-based Deep Multiple Instance Learning
my-deep-learning-projects
My Deep Learning Projects (Classification, Segmentation, Object Detection, NLP, Deep Multiple Instance Learning)
TensMIL
This repository implements the TensMIL and TesnMIL2 algorithms
mildsvm
Multiple Instance Learning with Distributions, SVM
kernel_mean_embedding_distribution-regression
code for the KDD 2019 workshop paper https://arxiv.org/abs/1904.10583. Kernel mean embedding for distribution regression.
Image_Annotation_Based_on_Partially_Labeled_Data
Algorithm for annotating new-to-the-system image regions based on images from Corel Dataset
igt-wsi
Repository for "Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification""
Classification-Fungal10x
Fungal classification at 10x resolution. Multiple Instance Learning (MIL).
DosaCNV
Deep multiple instance learning model for predicting deletion pathogenicity and gene haploinsufficiency.
cs230
CS 230 Final Project
milwrap
Wrapping single instance learning algorithms for fitting them to data for multiple instance learning
pad_classification
Source code for the paper "Automated Detection of Peripheral Artery Disease From High Resolution Color Fundus Photographs" by Mueller, S et al.
MaxSnippetModelOvarian
Statistical classifier for diagnosing ovarian cancer from immune repertoires
fuzzy_rough_classifiers
Framework for developing fuzzy and fuzzy-rough classification models for multiple instance data
MILIS
Multiple Instance Learning with Instance Selection
dependency-mil
[ISBI 2024] Accurate Subtyping of Lung Cancers by Modelling Class Dependencies
wsinfer-mil
CLI tool to run specimen-level inference on whole slide images
GI-Cancer-MSI-CCNet-MIL
Code for the paper "Contrastive Pre-Training and Multiple Instance Learning for Predicting Tumor Microsatellite Instability" (EMBC 2024)
iabi
Intelligent analysis of Biomedical images course
john-fante
In my code portfolio, I generally try new techniques and methods in machine learning. I don't like only copying and pasting.
sma-detection-in-blood-samples
Detecting Severe Malaria Anaemia and investigating the morphological characteristics of red blood cells at its presenc
Detection-of-the-PIK3CA-mutation-in-breast-cancer
Data challenge by Owkin (2023).
weakly-polyp
[MICCAI'22] Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.
ordinal-mil-nnets
Experiments testing ordinal and multiple instance learning neural networks
omisvm-sims
Simulation code for "Ordinal Multiple Instance Support Vector Machines"
transformer-MIR
Implementation of the basic transformer head for multiple-instance-regression (MIR)
MIClassImbalanceSolutions
Sampling-based class imbalance solutions for multiple-instance classification
mismote
Class imbalance correction algorithm for multiple-instance data
mirocchio
Prototype based classification algorithm for multiple-instance data
mil-noise-filter
Filter algorithm for noise reduction in multiple-instance classification problems