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Name: Hao

Type: User

Bio: Applied economics researcher, machine learning

Hao's Projects

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

attentioned-dual-stage-stock-prediction

By PyTorch

bert

TensorFlow code and pre-trained models for BERT

da-rnn

📃 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

deep-learning-financial-news-stock-movement-prediction

Deep Time Series Code (Stock Sentiment Prediction)

deeplearning_financial

Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory

esrnn-gpu

PyTorch GPU implementation of the ES-RNN model for time series forecasting

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python.

haoxu

Hao Xu's Personal Website

keras-seq-2-seq-signal-prediction

An implementation of a sequence to sequence neural network using an encoder-decoder

neural-net-with-financial-time-series-data

This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

pydlon15

Open Source Tools for Financial Time Series Analysis and Visualization

sequence-to-sequence-learning-of-financial-time-series-in-algorithmic-trading

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

seriesnet

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

time-series-forecasting

Recurrent Neural Network Implementations for Time Series Forecasting

timeseries_seq2seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

wechat-spider

微信公众号爬虫

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