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machinelearning

This project contain some machine learning algrithm demo.Maybe the code is also useful to you.

mafn-2021

Hyperspectral Image Classification with Multi-attention Fusion Network-code

marta-gan

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

marta-gans

Implementation of the paper "MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification".

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

master-thesis-bayesiancnn

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

matlab-hyperspectral-analysis-system

将高光谱图像的分类处理工程化/Engineering the classification processing of hyperspectral image

mcnn-based_hsi_classification

MCNN-CP：Hyperspectral Image Classification Using Mixed Convolutions and Covariance Pooling (TGARS 2020)； MCNN-PS & Oct-MCNN-PS：Hyperspectral Image Classification Using Hybrid Octave and Sub-Pixel Convolutional Neural Network (TGARS Submitted)

mctsegmentation

Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography

mdcpe-co-training-method-for-hyperspectral-image-classification

MDCPE co-training is proposed with two deep neural networks for hyperspectral image classification.

mdgcn

Multiscale Dynamic Graph Convolutional Network for hyperspectral image classification

mdl4ow

S. Liu, Q. Shi and L. Zhang, "Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3018879.

medical-data

medicalnet

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

mfdn

Zhaokui Li*, Tianning Wang, Wei Li, Qian Du, Chuanyun Wang, Cuiwei Liu, Xiangbin Shi, Deep Multi-layer Fusion Dense Network for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020, 13:1258-1270.

mfdn-2020

Deep Multi-layer Fusion Dense Network for Hyperspectral Image Classification.

ml_code

A repository for recording the machine learning code

mlalgorithms

Minimal and clean examples of machine learning algorithms

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

models

Models and examples built with TensorFlow

msgan

msr-3dcnn

Network(MSR-3DCNN) for Hyperspectral Image Classification has been accpeted by remote sensing. This is the code of the Hyperspectral Image Classification Network MSR-3DCNN.Multiple Spectral Resolution 3D Convolutional Neural

msrn-a

Hyperspectral image classification based on multi-scale residual network with attention mechanism

mt-reading-list

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

multi-scale-dense-networks-for-hyperspectral-remote-sensing-image-classification

paper：Multi-Scale Dense Networks for Hyperspectral Remote Sensing Image Classification

my_keras_model_zoo

keras pretrained model

nas-crsi

Classification of remote sensing images based on neural network search

nas-hris

Neural Architecture Search for High-resolution Remote Sensing Image Segmentation

nlp-with-pytorch

《Natural Language Processing with PyTorch》中文翻译