hjc5858 Goto Github PK
Name: hjc5858
Type: User
Company: shanghai university
Bio: doing is better than perfect.
Location: shanghai
Name: hjc5858
Type: User
Company: shanghai university
Bio: doing is better than perfect.
Location: shanghai
data and code for coling2018 paper
Code for the EMNLP 2019 paper: Event Representation Learning Enhanced with External Commonsense Knowledge.
Code for the script event prediction task in the EMNLP 2019 paper: Event Representation Learning Enhanced with External Commonsense Knowledge.
Repo for the Deep Learning Nanodegree Foundations program.
Deep Time Series Code (Stock Sentiment Prediction)
deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.
deeplearning-ai相关学习资源
吴恩达《深度学习》学习笔记(xmind)、作业代码、代码视频讲解
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Applying Deep Learning and NLP in Quantitative Trading
Study materials in DMIS lab
A quick tutorial on how to use Jupyter Lab (the evolution of Jupyter Notebooks).
A deep learning method for event driven stock market prediction. Deep learning is useful for event-driven stock price movement prediction by proposing a novel neural tensor network for learning event embedding, and using a deep convolutional neural network to model the combined influence of long-term events and short-term events on stock price movements
Model news data in short, medium and long term for stock price trend prediction
Implementation of Events Embedding Network by Ding et a 2015 https://www.ijcai.org/Proceedings/15/Papers/329.pdf
(https://arxiv.org/abs/1912.11334) Open-domain Event Extraction and Embedding for Natural Gas Market Prediction
TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction", WSDM 2018
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
Pytorch Implementation of Google BERT
Use NLP to predict stock price movement associated with news
Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Code for stock movement prediction from tweets and historical stock prices.
A comprehensive dataset for stock movement prediction from tweets and historical stock prices.
Plain Stock Close-Price Prediction via Graves LSTM RNNs
This repository implements the system described in "Growing Story Forest Online from Massive Breaking News"
Code for paper "Temporal Relational Ranking for Stock Prediction"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.