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magpie

Deep neural network framework for multi-label text classification

mahimahi

Web performance measurement toolkit

maia-chess

Maia is a human-like neural network chess engine trained on millions of human games.

make_datafiles_for_pgn

The origin code is from https://github.com/becxer/cnn-dailymail/

mame

MAME

mametoolkit

A Python toolkit used to train reinforcement learning algorithms against arcade games

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

manet

Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)

map-plan-baseline

map-viz

通用的地图可视化组件

marl-for-anatomical-landmark-detection

Tensorflow Implementation of Multiple Landmark Detection using Multi-Agent Reinforcement Learning Paper

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

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.

matterport

Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)

matterport3dsimulator

AI Research Platform for Reinforcement Learning from Real Panoramic Images.

mattnet

MAttNet: Modular Attention Network for Referring Expression Comprehension

maxmin-cnn

Implementation of Paper: "MaxMin Convolution Neural Networks for Image Classfication" in Keras.

mblock

base on scratch offline v2.0 by MIT, Learn more from Makeblock official website

meal-v2

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

medfuse

medical-cross-modality-domain-adaptation

[IJCAI'18] Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss (code&data)

medical-imaging-datasets

A list of Medical imaging datasets.

medical-report-generation

A Pytorch Implementation: Multimodal Recurrent Model with Attention for Automated Radiology Report Generation

medicaldataaugmentationtool-mmwhs

medicalmatting

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.

medicalzoopytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

medicat

Dataset of medical images, captions, subfigure-subcaption annotations, and inline textual references

medlabelme

Segmentation annotation tool for 3D medical images