An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: multi-instance-learning

CTUAvastLab/Mill.jl

Build flexible hierarchical multi-instance learning models.

Language: Julia - Size: 9.2 MB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 89 - Forks: 8

Aashi2608/Artificial-Intelligence

This repository contains an AI-based diagnostic system for classifying lumbar spine degenerative conditions using MRI scans.

Language: Jupyter Notebook - Size: 815 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

pipixin321/GlanceVAD

[ICME 2025] Official implementation of "GlanceVAD: Exploring Glance Supervision for Label-efficient Video Anomaly Detection"

Language: Python - Size: 45.8 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 23 - Forks: 1

CTUAvastLab/ExplainMill.jl

Explaining hierarchical models built in https://github.com/CTUAvastLab/Mill.jl

Language: Julia - Size: 703 KB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

titizheng/PAMIL

Implementation of "Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification", (CVPR 2024 Highlight).

Language: Python - Size: 31.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 14 - Forks: 0

CTUAvastLab/JsonGrinder.jl

Machine learning with Mill.jl for JSON documents

Language: Julia - Size: 35.5 MB - Last synced at: 5 days ago - Pushed at: 5 months ago - Stars: 49 - Forks: 9

Devnetly/Breast-Cancer-Classification

This repository contains some comprehensive approaches for the purpose of classifying breast cancer tissue using whole slide images (WSIs).

Language: Python - Size: 532 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 1

AIH-SGML/mixmil

Code for the paper: Mixed Models with Multiple Instance Learning

Language: Jupyter Notebook - Size: 587 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 19 - Forks: 2

blubber-rubber/MIL

Repo for master thesis

Language: Python - Size: 21.6 MB - Last synced at: 6 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

WeijiaZhang24/CausalMIL

Multi-Instance Causal Representation Learning

Language: Python - Size: 167 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 15 - Forks: 0

titizheng/SMILE

Code for paper "SMILE: Self-Motivated Multi-instance Learning for Whole Slide Image Classification" submission under review.

Language: Python - Size: 396 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0

mlnpapez/TreeRNN.jl

Recurrent neural networks for JSON data.

Language: Julia - Size: 3.99 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

HKU-MedAI/HIGT

[MICCAI'23] HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis

Language: Python - Size: 460 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 26 - Forks: 1

omsh/Multi-instance-CNN-for-medical-imaging

Multi-instance CNN for Breast Cancer Classification

Language: Python - Size: 620 KB - Last synced at: 4 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 1

peterlipan/Awesome-Multi-instance-Learning-for-Whole-Slide-Images

A curated list of awesome Multi-instance Learning frameworks for Whole Slide Images (WSIs) classification, segmentation, etc.

Size: 4.88 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

gatsby2016/PhiHER2

PhiHER2 model, a phenotype-informed weakly supervised model for HER2 status prediction from pathological images

Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

WeijiaZhang24/MIVAE

Language: Python - Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

mohsenMahmoodzadeh/operationalizing-an-aws-ml-pipeline

A deployment project of an ML pipeline using AWS EC2 and AWS Lambda

Language: Jupyter Notebook - Size: 4.07 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

kochlisGit/Advanced-ML

Advanced Machine Learning Algorithms including Cost-Sensitive Learning, Class Imbalances, Multi-Label Data, Multi-Instance Learning, Active Learning, Multi-Relational Data Mining, Interpretability in Python using Scikit-Learn.

Language: Jupyter Notebook - Size: 166 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 2

lavis-nlp/jerex

PyTorch code for JEREX: Joint Entity-Level Relation Extractor

Language: Python - Size: 135 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 52 - Forks: 12

l294265421/AC-MIMLLN

[EMNLP 2020] Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis

Language: Python - Size: 993 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 26 - Forks: 3

yumoxu/detnet

Code and dataset for TACL 19: Weakly Supervised Domain Detection.

Language: Python - Size: 1.7 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 11 - Forks: 1

pdoup/ATML-notebooks

Proposed assignment notebooks for Advanced Topics in Machine Learning tasks

Language: Jupyter Notebook - Size: 4.4 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

JiaWu-Repository/MGL

Multi-graph Learning

Size: 0 Bytes - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 3

thu-west/MU-MIL

Implementation of our paper "Instance Explainable Multi-Instance Learning for ROI of Various Data"

Language: Python - Size: 93 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

Related Keywords
multi-instance-learning 25 machine-learning 6 json 4 flux 3 hierarchical-data 3 julia 3 whole-slide-image 3 pytorch-implementation 2 multi-instance 2 classification 2 python 2 tensorflow 2 semi-supervised-learning 2 active-learning 2 cost-sensitive-learning 2 numpy 2 scikit-learn 2 deep-learning 2 explainable-ml 1 pandas 1 3d-cnn-architecture 1 multi-relational-data-mining 1 multi-label-learning 1 machine-learning-algorithms 1 interpretability 1 aritificial-intelligence 1 class-imbalance 1 advanced-ml 1 bi-lstm-model 1 sagemaker 1 ec2 1 concurrency 1 aws-lambda 1 aws 1 under-review 1 graph 1 multi-label-classification 1 imbalanced-data 1 wikipedia-data 1 text-classification 1 domain-detection 1 multi-instance-multi-label-learning 1 aspect-category-sentiment-analysis 1 aspect-based-sentiment-analysis 1 acsa 1 ac-mimlln 1 absa 1 relation-extraction 1 joint-learning 1 document-level 1 sklearn 1 2d-cnn 1 causal-representation-learning 1 variational-inference 1 video-anomaly-detection 1 mixed-models 1 generalized-linear-mixed-models 1 empirical-bayes 1 attention-mechanism 1 whole-slide-images 1 histological-images 1 hematoxylin-eosin-staining 1 gigapixel-images 1 breast-cancer-prediction 1 bracs 1 attention-models 1 weakly-supervised-learning 1 cvpr24 1 autoscaling 1 variational-autoencoder 1 convnext 1 prototype-pattern 1 pathological-images 1 cross-attention 1 whole-slide-imaging 1 pathology-image 1 point-supervision 1 medical-imaging 1 convolutional-neural-networks 1 cnn 1 video 1 graph-transformer 1 computational-pathology 1 tree-structured-data 1 recurrent-neural-networks 1