hjc5858

coling2018

data and code for coling2018 paper

CommonsenseERL_EMNLP_2019

Code for the EMNLP 2019 paper: Event Representation Learning Enhanced with External Commonsense Knowledge.

ConstructingNEEG_IJCAI_2018

Code for the script event prediction task in the EMNLP 2019 paper: Event Representation Learning Enhanced with External Commonsense Knowledge.

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

Deep-Learning-Financial-News-Stock-Movement-Prediction

Deep Time Series Code (Stock Sentiment Prediction)

deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

deeplearning.ai-Ng

deeplearning-ai相关学习资源

deeplearning.ai-notes

吴恩达《深度学习》学习笔记(xmind)、作业代码、代码视频讲解

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

DLQuant

Applying Deep Learning and NLP in Quantitative Trading

hjc5858/coling2018

data and code for coling2018 paper

hjc5858/CommonsenseERL_EMNLP_2019

Code for the EMNLP 2019 paper: Event Representation Learning Enhanced with External Commonsense Knowledge.

hjc5858/ConstructingNEEG_IJCAI_2018

Code for the script event prediction task in the EMNLP 2019 paper: Event Representation Learning Enhanced with External Commonsense Knowledge.

hjc5858/deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

hjc5858/Deep-Learning-Financial-News-Stock-Movement-Prediction

Deep Time Series Code (Stock Sentiment Prediction)

hjc5858/deeplearning.ai

deeplearning.ai , By Andrew Ng, All slide and notebook + code and some material.

hjc5858/deeplearning.ai-Ng

deeplearning-ai相关学习资源

hjc5858/deeplearning.ai-notes

吴恩达《深度学习》学习笔记(xmind)、作业代码、代码视频讲解

hjc5858/deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

hjc5858/DLQuant

Applying Deep Learning and NLP in Quantitative Trading

hjc5858/DMIS_Study

Study materials in DMIS lab

hjc5858/ds-content-interactive-jupyterlab-tutorial

A quick tutorial on how to use Jupyter Lab (the evolution of Jupyter Notebooks).

hjc5858/Event-Driven-Stock-Prediction-using-Deep-Learning

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

hjc5858/Event-embedding-stock-prediction

Model news data in short, medium and long term for stock price trend prediction

hjc5858/FreeCodeCamp-Pandas-Real-Life-Example

hjc5858/gas_market

(https://arxiv.org/abs/1912.11334) Open-domain Event Extraction and Embedding for Natural Gas Market Prediction

hjc5858/han

TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction", WSDM 2018

hjc5858/hats

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction

hjc5858/Index-Tracking-Portfolio-Optimization

hjc5858/neural-event-model

hjc5858/pytorchic-bert

Pytorch Implementation of Google BERT

hjc5858/Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction

Use NLP to predict stock price movement associated with news

hjc5858/Stock-Prediction

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

hjc5858/Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

hjc5858/stocknet-code

Code for stock movement prediction from tweets and historical stock prices.

hjc5858/stocknet-dataset

A comprehensive dataset for stock movement prediction from tweets and historical stock prices.

hjc5858/StoryForest

This repository implements the system described in "Growing Story Forest Online from Massive Breaking News"

hjc5858/Temporal_Relational_Stock_Ranking

Code for paper "Temporal Relational Ranking for Stock Prediction"

hjc5858/Test-stock-prediction-algorithms

Use deep learning, genetic programming and other methods to predict stock and market movements

hjc5858/web-traffic-forecasting

Kaggle | Web Traffic Forecasting 📈