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mini_vi_slam

minigui-1

minisam

A general and flexible factor graph non-linear least square optimization framework

miniupnp

UPnP IGD implementation

misc

mister

Main_MiSTer rework on C++. Re-architecture and preparing for future expansion

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml_practice

ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html

mlnd_distracted_driver_detection

基于深度学习的驾驶员状态检测，不仅仅可以识别出疲劳驾驶，还能够识别出各种各样的状态

mlpack

mlpack: a scalable C++ machine learning library --

mlx90640-library

Python library for the MLX90640 thermal camera

mmdetection

Open MMLab Detection Toolbox and Benchmark

mmstreamer

mmstreamer is a media streamer written in C and made for the linux OS.

mnn

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

mnn-lanenet

Lane detection model for mobile device via MNN project

mobile

Mobile for raspberry, support LongSung U8300C,9300C, Huawei ME909s, NL660, SIMCOM, N720 and etc

mobilecross

一个移动端跨平台的通用库，包括http、文件、json、线程、异步等

mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

mobilenet-ssd-license-plate-detection

基于mobilenet-ssd车牌检测,全新模型仅3.4MB.

mobilenet-ssdlite-realsense-tf

RaspberryPi3(Raspbian Stretch) + MobileNetv2-SSDLite(Tensorflow/MobileNetv2SSDLite) + RealSense D435 + Tensorflow1.11.0 + without Neural Compute Stick(NCS)

mobilenet-yolo

A caffe implementation of MobileNet-YOLO detection network

mobilenet-yolo-1

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

mobilenet_ssd_pedestrian_detection

Mobilenet SSD based pedestrian detection

mobilenetv3-ssd-compact-version

MobileNetV3 SSD的简洁版本

modbus-stm32-hal-freertos

Modbus RTU Master and Slave for STM32 using Cube HAL and FreeRTOS

moddable

Tools for developers to create truly open IoT products using standard JavaScript on low cost microcontrollers.

model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)

model-predictive-control

This project is to use Model Predictive Control (MPC) to drive a car in a game simulator. The server provides reference waypoints (yellow line in the demo video) via websocket, and we use MPC to compute steering and throttle commands to drive the car. The solution must be robust to 100ms latency, since it might encounter in real-world application.

model-viewer

Simple model viewer using SDL2, OpenGL, Assimp, Dear IMGUI

modeld

Self driving car lane and path detection