袁宵

Entity-Relation-Extraction. Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

Machine-Learning-Book. 《机器学习宝典》包含：谷歌机器学习速成课程（招式）+机器学习术语表（口诀）+机器学习规则（心得）+机器学习中的常识性问题 （内功）。该资源适用于机器学习、深度学习研究人员和爱好者参考！

BERT_Paper_Chinese_Translation. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 论文的中文翻译 Chinese Translation!

BERT-for-Sequence-Labeling-and-Text-Classification. This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

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。

Schema-based-Knowledge-Extraction. Code for http://lic2019.ccf.org.cn/kg 信息抽取。使用基于 BERT 的实体抽取和关系抽取的端到端的联合模型。

Machine_Learning_bookshelf. 机器学习深度学习相关书籍、课件、代码的仓库。 Machine learning is the warehouse of books, courseware and codes.

fan-ren-xiu-xian-zhuan. 凡人修仙传（fanrenxiuxianzhuan）的资源汇总，谨献给“凡友”们。

Multimodal-short-video-dataset-and-baseline-classification-model. 500,000 multimodal short video data and baseline models. 50万条多模态短视频数据集和基线模型（TensorFlow2.0）。

Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy. This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理论证明与基于Numpy的实现。

Find-a-Machine-Learning-Job. 找一份机器学习工作（算法工程师），需要提纲（算法能力）挈领（编程能力），充分准备。 本人学习和在找工作期间受到了很多前辈们的帮助，目前已经找到心仪的工作，撰写此文献给那些在求职路上有梦有汗水的人们！2020秋招算法，难度剧增！没有选择，只能迎难而上。

Slot-Filling-and-Intention-Prediction-in-Paper-Translation. 槽填充、意图预测（口语理解）论文整理和中文翻译。Slot filling and intent prediction paper collation and Chinese translation.

XLNet_Paper_Chinese_Translation. XLNet: Generalized Autoregressive Pretraining for Language Understanding 论文的中文翻译 Paper Chinese Translation!

SMP2018. SMP2018中文人机对话技术评测（ECDT）

ELMo. ELMo: Embeddings from Language Models. Using, visualizing and understanding EMLo by examples!

Image-Captioning. CNN-Encoder and RNN-Decoder (Bahdanau Attention) for image caption or image to text on MS-COCO dataset. 图片描述

Transformer_implementation_and_application. The 300 lines of code (Tensorflow 2) completely replicates the Transformer model and is used in neural machine translation tasks and chat bots. 300行代码（Tensorflow 2）完整复现了Transformer模型，并且应用在神经机器翻译任务和聊天机器人上。

Text-generation-task-and-language-model-GPT2. solve text generation tasks by the language model GPT2, including papers, code, demo demos, and hands-on tutorials. 使用语言模型GPT2来解决文本生成任务的资源，包括论文、代码、展示demo和动手教程。

CPlusPlus-Programming-Language-Foundation. 《CPlusPlus编程语言基础》又称为“C加加知识树”，用树状思维导图的形式展现C++从业人员必备的所有C++基础知识。

yuanxiaosc.github.io. 个人博客；论文；机器学习；深度学习；Python学习；C++学习；

Keras_Attention_Seq2Seq. A sequence-to-sequence framework of Keras-based generative attention mechanisms that humans can read.一个人类可以阅读的基于Keras的代注意力机制的序列到序列的框架/模型，或许你不用写复杂的代码，直接使用吧。

Deep_dynamic_contextualized_word_representation. TensorFlow code and pre-trained models for A Dynamic Word Representation Model Based on Deep Context. It combines the idea of BERT model and ELMo's deep context word representation.

information-extraction. 2019语言与智能技术竞赛，信息抽取任务的基线模型python3代码。模型包括：关系抽取（多标签模型）和实体抽取（序列标注模型）

Path-Classification-Experiment. Introduction to Data Analysis: Path Classification Experiment. 本资源以选择最优路径为例详细介绍了如何解决一般的分类问题，包括原始数据的探索、模型的构建、模型调优和模型预测分析。包含前馈神经网络（Keras）、机器学习模型（sklearn）和绘制数据图表（matplotlib）的基础使用。

Deep-Convolutional-Generative-Adversarial-Network. Tensorflow 2. This repository demonstrates how to generate images of handwritten digits (MINIST) using a Deep Convolutional Generative Adversarial Network (DCGAN). 深度卷积生成对抗网络

NLPCC2019-Conference-Materials. NLPCC2019会议资料分享：论文投稿信息总结、NLP当前研究内容和趋势、学者演讲、海报、公司介绍和招聘信息。

Image_to_Text. Taking the image description task on the MS-COCO data set as an example, the template code of Image_to_Text is shown.

Slot-Gated-Modeling-for-Joint-Slot-Filling-and-Intent-Prediction. Code parsing and paper parsing for "Slot-Gated Modeling for Joint Slot Filling and Intent Prediction"

Seq2Seq-English-French-Machine-Translation-Model. Seq2Seq English-French Machine Translation Model

Hands-on-chat-robots. There are a variety of out-of-the-box chat bot codes here.

transferlearning-tutorial. 《迁移学习简明手册》LaTex源码