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mbem

Learning From Noisy Singly-labeled Data

mcgpu

GPU-accelerated Monte Carlo x-ray transport code to simulate medical x-ray imaging devices.

medical-imaging-datasets

A list of Medical imaging datasets.

medusa_tb

mermaid

Image registration using pytorch

meta-sim

Meta-Sim: Learning to Generate Synthetic Datasets (ICCV 2019)

mfd

Multispectral Feature Descriptor (MFD).

ml_project2_epfl

Unsupervised deep-learning image registration model (Machine Learning @ EPFL)

mldagan

mltools

A collection of Machine Learning Tools for object detection and classification on DG imagery.

mmdetection

Open MMLab Detection Toolbox and Benchmark

models

Models and examples built with TensorFlow

monteverdi

Legacy OTB composer

monteverdi2

Qt based OTB composer

morphological-filter-matlab

Code for fast morphological filtering

mosquito_classifier

TensorFlow Image Classifier Files that can be used to distinguish among various Mosquito types with accuracy

mrcnn-scene-recognition

MR-CNNs for Large-Scale Scene Recognition

ms-remote-sens-2018

Materials for 2018 Tanintharyi land cover change analysis paper (De Alban et al. 2018. Remote Sensing).

mt-net

Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"

multi-focus-image-fusion-in-dct-domain

Multi-Focus Image Fusion in DCT Domain using Variance and Energy of Laplacian and Correlation Coefficient for Visual Sensor Networks Matlab Code

multi-scale-and-depth-cnn-for-pan-sharpening

Matlab implementation of IEEE JSTARS article "A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening", along with the IEEE GRSL article DRPNN. MatConvNet and Caffe are required for full implementation.

multi-tasking_learning_with_unreliable_labels

Extending the NLNN algorithm proposed by Bekker & Goldbergers in a Multi-tasking Learning set-up to handle noisy labels. In order to extend low-resource data we often used artificial annotators. In this following setup we aim to generate clean training labeled data from artificial annotators.

multilabel-unet

Multi-label Cloud Segmentation Using a Deep Network

multimodal-vae-public

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

multiscale-adversarial-attention-gates

Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates

multiscale-cnn

multiscale-cnn-1

An implementation of http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7729230

multiscale-cnn-classifier

Reproduce GTSRB results of classic deep learning papers.

multiscale-cnn-keras

MultiScale_FeatureFusion CNN model with keras_2020

multiscale-super-spectral

Spectral Super-resolution from Single RGB Image Using Multi-scale CNN