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multi_sensor_fusion

Multi-Sensor Fusion (GNSS, IMU, Camera) 多源多传感器融合定位 GPS/INS组合导航 PPP/INS紧组合

multitask-agreement

Multi-task learning models for linguistics

multitexturesynthesis

The source code of CVPR17 'Diversified Texture Synthesis with Feed-forward Networks'.

multiverso

Parameter server framework for distributed machine learning

mupen64plus-input-bot

An input driver for mupen64plus that consumes from a python web server

music-163

爬取网易云音乐所有歌曲的评论数

music_generator_demo

Music Generator Demo by @Sirajology on Youtube

music_recommender

Music recommender using deep learning with Keras and TensorFlow

muxviz

Analysis and Visualization of Interconnected Multilayer Networks

mv3d

Multi-view 3D Models from Single Images with a Convolutional Network

mvdetr

mvision

机器人视觉 无人驾驶 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习移动机器人

mvtboost

Boosted regression trees for continuous, multivariate responses.

mx-lsoftmax

mxnet version of Large-Margin Softmax Loss for Convolutional Neural Networks.

mx-maskrcnn

A MXNet implementation of Mask R-CNN

mx-rcnn

Faster R-CNN, an MXNet implementation with distributed implementation and data parallelization.

mx-rfcn

MXNet port of R-FCN

mxbox

Simple, efficient and flexible vision toolbox for mxnet framework.

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, and more

mxnet-101

The code to learn mxnet

mxnet-ccn-samples

Mxnet-cnn-samples

mxnet-face

Using mxnet for face-related algorithm.

mxnet-finetuner

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

mxnet-gan

MultiGPU enabled image generative models (GAN and DCGAN)

mxnet-model-gallery

Pre-trained Models of DMLC Project

mxnet-notebooks

mxnet-ssd

MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd

mxnet-the-straight-dope

Much easy, so MXNet. Wow.

mxnet-yolo

YOLO: You only look once real-time object detector

mxnet_center_loss

implement center loss operator for mxnet