magnetstone,github

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mlcompetitionhub

机器学习竞赛信息聚合(Machine learning competition information aggregation)

mlflow

Open source platform for the machine learning lifecycle

mobileface

A face recognition solution on mobile device.

mobilenet-ssd-license-plate-detection

基于mobilenet-ssd车牌检测

mobilenetv3

mobilenetv3 with pytorch，provide pre-train model

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有效的领先模型）

monitoror

Unified monitoring wallboard — Light, ergonomic and reliable monitoring for anything.

mx-rcnn

Parallel Faster R-CNN implementation with MXNet.

nacos

an easy-to-use dynamic service discovery, configuration and service management platform for building cloud native applications.

networkx

Official NetworkX source code repository.

nlp-interview-notes

本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含自然语言处理各领域的面试题积累。

nlp-models-tensorflow

Gathers machine learning and Tensorflow deep learning models for NLP problems

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp_from_zero_to_one

主要是实现nlp常用网络以及结果比较，各模型的优劣势，如:FastText,TextCNN,TextRNN,TextRCNN,BiLSTM,Seq2seq,BERT,Transformer,ELMo以及Attention机制等等。

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

openface

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

openface-1

Face recognition with deep neural networks.

open_nsfw_android

🔥🔥🔥色情图片离线识别（离线鉴黄），基于TensorFlow实现。识别只需200ms,可断网测试，成功率99%，调用只要一行代码，从雅虎的开源项目open_nsfw移植，tflite（6M）为训练好的模型（已量化），该模型文件可用于iOS、java、C++等平台，Python使用生成的tfLite文件检测图片的速度远远快于实用原模型

👑 Easy-to-use and powerful NLP library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis and 🖼 Diffusion AIGC system etc.

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