yuanxiaosc/Transformer_implementation_and_application

Stars
26
Rank 930,752 (Top 19 %)
Language
Jupyter Notebook
Created over 5 years ago
Updated about 5 years ago

yuanxiaosc/Transformer_implementation_and_application

yuanxiaosc

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

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。

DeepImage-an-Image-to-Image-technology

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

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！

Jupyter Notebook

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.

Jupyter Notebook

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）。

Jupyter Notebook

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。

fan-ren-xiu-xian-zhuan

凡人修仙传（fanrenxiuxianzhuan）的资源汇总，谨献给“凡友”们。

XLNet_Paper_Chinese_Translation

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

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.

SMP2018

SMP2018中文人机对话技术评测（ECDT）

Jupyter Notebook

Image-Captioning

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

Jupyter Notebook

ELMo

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

Jupyter Notebook

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.

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。

Jupyter Notebook

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

Jupyter Notebook

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.

Jupyter Notebook

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.

Jupyter Notebook