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aeo.lin's Projects

bert-bilstm-crf-ner icon bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private server services

casrel icon casrel

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

chan-dst icon chan-dst

Code for our paper "A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking" (ACL2020)

chan.py icon chan.py

开放式的缠论python实现框架,支持形态学/动力学买卖点分析计算,多级别K线联立,区间套策略,可视化绘图,多种数据接入,策略开发,交易系统对接;

chinese-names-corpus icon chinese-names-corpus

中文人名语料库。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。成语词典。

conv-emotion icon conv-emotion

This repo contains implementation of different architectures for emotion recognition in conversations

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dialog_corpus icon dialog_corpus

用于训练中英文对话系统的语料库 Datasets for Training Chatbot System

dialogxl icon dialogxl

The PyTorch implementaion for AAAI-2021 accepted paper DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition.

doccoverter icon doccoverter

convert docx/odt to pdf/html with Java base:https://angelozerr.wordpress.com/2012/12/06/how-to-convert-docxodt-to-pdfhtml-with-java/

gain icon gain

Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction

gpt4free icon gpt4free

decentralising the Ai Industry, just some language model api's...

itransformer icon itransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

ket icon ket

The PyTorch code for paper "Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations"

mootdx icon mootdx

通达信数据读取的一个简便使用封装

mpdd icon mpdd

Multi-Party Dialogue Dataset

mts_lstm_a_stock icon mts_lstm_a_stock

将其中的多因子模型(multiple-factor model)作为股票的额外特征引入到股票价格预测中, 建立了一个基于多变量的长短期记忆网络(multi-variable LSTM)股票价格预测模型, 用以提升只基于单一价格序列, 也即单变量长短期记忆网络(univariate LSTM)的股票价格预测模型的准确性以及鲁棒性. LSTM:是一个循环神经网络,能够处理长期依赖关系。 时间序列分析:时间序列表示基于时间顺序的一系列数据。 MTS_LSTM: **基于 lstm 的 时间序列分析**

multi2oie icon multi2oie

Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT (Findings of ACL: EMNLP 2020)

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