this machine learning program is designed to classify multi-class categories of the text. it can be tested on any type of textual datasets. the size of the dataset this program was tested is about 3500 commit messages with 5 different labels. the classifier was evaluated by the claculated precision of 0.96, and recall of 0.94.

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。

mvision

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

my_oms

我的自动化运维管理平台

nanodet

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

netron

Visualizer for neural network, deep learning and machine learning models

nlp

兜哥出品 <一本开源的NLP入门书籍>

nlp-1

🤗nlp – Datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow

nlp_chinese_corpus

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

nlp_xiaojiang

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification），实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用