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mlens

ML-Ensemble – high performance ensemble learning

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

mnn

MNN is a lightweight deep neural network inference engine.

mochat

基于企业微信的开源应用开发框架&引擎，也是一套通用的企业私域流量管理系统!

model-alan

对机器学习、概率图模型、主题模型领域一些模型进行实现，主要涉及一些近年高水平会议论文中提到的算法。

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

moments

爬取微信朋友圈

mooc_downloader

学无止下载器，慕课下载器，Mooc下载，**大学下载，爱课程下载，网易云课堂下载，学堂在线下载；支持视频，课件同时下载

mpi-gbdt

基于mpi4py的并行梯度提升树简单实现

mplfinance

New mplfinance package (to replace mpl-finance by mid 2020).

mrc-for-flat-nested-ner

Code for ACL 2020 paper `A Unified MRC Framework for Named Entity Recognition`

mrc-for-flat-nested-ner-1

Code for ACL 2020 paper `A Unified MRC Framework for Named Entity Recognition`

mse-professional_materials

MSE考研专业课资料收集

mspars

msr-nlp-projects

This is a list of open-source projects at Microsoft Research NLP Group

mt-reading-list

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

mtbook

《机器翻译：统计建模与深度学习方法》肖桐 朱靖波 著 - Machine Translation: Statistical Modeling and Deep Learning Methods

multi-domain-fake-news-detection

虚假新闻检测多模态识别第一名解决方案

multi-factor-gm-wind-joinquant

基于掘金+万得+聚宽的多因子策略开发框架

multi-hopcomplexkbqa

multi-label-classification

基于tf.keras的多标签多分类模型

multi-label-classification-4-event-type

multi-label-classification-4-event-type

multi-label-text-classification-for-chinese

pytorch implementation of multi-label text classification, includes kinds of models and pretrained.

multi-step-reasoning

multi_label_classifier_finetune

微调预训练语言模型，解决多标签分类任务(可加载BERT、Roberta、Bert-wwm以及albert等知名开源tf格式的模型)

multimediachatbot

构建了可用于多个对话框架的场景型对话的聊天机器人。支持吐槽类情景及情感倾诉型情景。使用wechaty，结合Paddlehub的人脸特征点、动漫人脸生成、对联生成、情感分类，ernie迁移，人脸变胖

multiple-relations-extraction-only-look-once

Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresponding relations. 端到端联合多关系抽取模型，可用于 http://lic2019.ccf.org.cn/kg 信息抽取。

multiturndialogzoo

Multi-turn dialogue baselines written in PyTorch

my-data-competition-experience

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢