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mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

machine-learning

机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-1

machine-learning-homework

机器学习课程每周作业集

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

machinelearning

magiccamera

Real-time Filter Camera&VideoRecorder And ImageEditor With Face Beauty For Android---包含美颜等40余种实时滤镜相机，可拍照、录像、图片修改

mars

Mars is a cross-platform network component developed by WeChat.

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

mediapipemultihandstrackingapp

Gesture recognition through mediapipe

mediastreamer2

Linphone.org mirror for mediastreamer2 (git://git.linphone.org/mediastreamer2.git)

miles-deep

Deep Learning Porn Video Classifier/Editor with Caffe

minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

minihttpserver

light weight mini httpserver and httpclient based on github's most popular embedded web server mongoose

mjson

C/C++ JSON parser, emitter, JSON-RPC engine for embedded systems

ml-weekly

My weekly of machine learning. Collection of implemented algorithms.

mnn

MNN is a lightweight deep neural network inference engine.

mnn-yolov5

Imported from https://gitee.com/techshoww/mnn-yolov5.

models

Models built with TensorFlow

moss

An open-source tool-augmented conversational language model from Fudan University

mp4convert

multi-source_face-vid2vid

multi_stream_server

a multi_stream_server configure use ffserver

musicbox

:blush: :musical_note: MusicPlayer 一站式收听多平台音乐(网易云, 虾米, QQ)的跨平台音乐播放器，尽情享受吧~:sparkles:

mxnet-yolo

YOLO: You only look once real-time object detector

my_flutter_challenges

Flutter project containing all my flutter UI challenges

myffmpegh264h265yuvopengl

ffmpeg + x264+ x265 + libde265 + opengl es display

myobjectdetection

The is an Android Application which use TensorFlow lite to detect the objects being seen by the camera of any device.It also has has announce object names feature that is very useful for people who are disabled.

nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8MB and run 97FPS on cellphone🔥

naturallanguageprocessing

# Natural language processing