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mil_pooling_filters

This repository is the official implementation of "Distribution Based MIL Pooling Filters are Superior to Point Estimate Based Counterparts".

minns

Codes for our paper "Revisiting Multiple Instance Neural Networks".

ml_notebooks

A repository for public Machine Learning notebooks I have created

mlp-mixer

PyTorch implementation of MLP-Mixer: An all-MLP Architecture for Vision

mlp-mixer-pytorch

Unofficial implementation of MLP-Mixer: An all-MLP Architecture for Vision

multiple-instance-learning-with-graph-neural-networks

Multiple instance learning with graph neural networks.

noc-examples-p5.js

Port to p5.js of Nature of Code examples

noc-examples-processing

Repository for example code from The Nature of Code book

optimal-feature-selection-for-knn-classifier

This MATLAB code implements the binary Grass hopper optimization algorithm to select the features and train with KNN

oreilly-blog

code to accompany blog posts

pa-gnn

Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

practicum

pyfishervector

Python implementation for Image Classification based on GMM dictionaries and fisher vectors.

pygmmis

Gaussian mixture model for incomplete (missing or truncated) and noisy data

python_tutorials

Python tutorials in both Jupyter Notebook and youtube format.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-dagmm

Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

pytorch-vae-tutorial

A simple tutorial of Variational AutoEncoders with Pytorch

representation-learning-on-heterogeneous-graph

Representation-Learning-on-Heterogeneous-Graph

sampledabmil

simple_ml_codes

This Repository Contains the Codes for Simple ML Algorithms

spatial_graph_convnets

PyTorch implementation of residual gated graph ConvNets, ICLR’18

spektral

Graph Neural Networks with Keras and Tensorflow 2.

tchexnet

Transferring knowledge learnt from CheXNet to new Deep Neural Networks

temporal-ensembling

PyTorch implementation of Temporal Ensembling for Semi-Supervised Learning

transmil

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

vlad

Python implementation of VLAD descriptors

vladmatlab

This file is for creating VLAD descriptor in MATLAB .

vroster

Automatically exported from code.google.com/p/vroster