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fcbe-mifv

Code implementation of paper Robust bag classification approach for multi-instance learning via subspace fuzzy clustering

feast

A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.

feature-selection-project

Given a Dataset find out the most important features present in the data using different searches/methods.

fishervector

Improved Fisher Vector Implementation

free-algorithm-books

gated_gcrnns

Gated graph convolutional recurrent neural networks code used in:

gaussian-mixture-model

gfnn

Graph Filter Neural Network (ICPR'20)

gmm-em-python

Python implementation of EM algorithm for GMM. And visualization for 2D case.

gmm-torch

Gaussian mixture models in PyTorch.

gmm_encoding-

This code provide GMM base encoding for MIL

hopfield-layers

Hopfield Networks is All You Need

imageclef2020

The implementation of the ImageClef 2020 Tuberculosis

jupytercon-missing-data-2018

JupyterCon Missing Data Talk 2018

k-nearest-neighbors-with-dynamic-time-warping

Python implementation of KNN and DTW classification algorithm

kernelselfattentiondeepmil

Kernel self-attention in deep multiple instance learning

kernel_sa-abmilp

latex-ocr

pix2tex: Using a ViT to convert images of equations into LaTeX code.

lime

Lime: Explaining the predictions of any machine learning classifier

loss-attention

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

magnn

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

matab

med2image

Converts medical images to more displayable formats, e.g. NIfTI to jpg.

migraphpy

Python implementation of the miGraph method

mil

Multiple instance learning library for Python

mildatapy

milli

Code for the paper "Model Agnostic Interpretability for Multiple Instance Learning".

milpy

Mulltiple Instance Learning (MIL) library

milsurvey

Code for Experiments in “Multiple Instance Learning: A Survey of Problem Characteristics and Applications,”