EINDICE's starred repositories
Nonstationary_Transformers
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
predicting-stocks
Using LSTM, Decision Tree, and HMM to predict stock market prices with news sentiment
Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
Stock-price-predection-using-LSTM-and-Sentiment-analysis
Sentiment analysis of the collected tweets is used for prediction model for finding and analysing correlation between contents of news articles and stock prices and then making predictions for future prices will be developed by using machine learning.
Stock-Market-Prediction-Using-LSTM-and-Online-News-Sentiment-Analysis
Stock price prediction with LSTM adding sentiment analysis of some associated online news.
Stock-Prediction
LSTM RNN for sentiment-based stock prediction
Data_Label_Tools
收集整理开源的数据标注工具
LightTagger
LightTagger is an ultra-lightweight open-source text annotation tool, which can be widely used for manual auxiliary annotation tasks mining such as named entities, entity relationships, and events in text data.
sentiment-analysis
情感分析、文本分类、词典、bayes、sentiment analysis、TextCNN、classification、tensorflow、BERT、CNN、text classification
EDA_NLP_for_Chinese
An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。
Text-Classification-Financial-Phrase-Bank
Built a sentiment analysis model to predict the sentiment of a Financial News article. A comparative study of different optimizers used for training was done.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
issey_Kaggle
Experiments on Kaggle
quant-on-volume
基于成交量的股票数据分析系统
Chinese-Text-Classification-Pytorch
中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。
Chinese-BERT-wwm
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
Sentiment-Analysis
This is a nlp project about sentiment analysis using bert and including the dataset
Textclassification-pytorch
练习, 基于torchtext，huggingface，pytorch，在一个中文多分类任务和一个英文二分类任务上实验了TextCNN，BERT和XLnet三个模型。
BertClassifier
基于PyTorch的BERT中文文本分类模型（BERT Chinese text classification model implemented by PyTorch）
BERT_Chinese_Classification
本实验，是用BERT进行中文情感分类，记录了详细操作及完整程序
Bert-Chinese-Text-Classification-Pytorch
使用Bert，ERNIE，进行中文文本分类
SentimentWordExpansion
Self complemented sentiment words expansion using seed sentiment words and so-pmi , this method is tested to be effective， 基于情感种子词与so-pmi算法的情感词扩展.
Stock_Trend_Finbert
For Chinese comments, the Finbert model was used to conduct polarity analysis and predict stock price rise
CNEconDict
适用于中文分词的经济金融词典