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sky2code's Projects

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

dl4stock

This is the project for deep learning in stock market prediction.

elegantrl

Massively Parallel Deep Reinforcement Learning. 🔥

finrl

FinRL: Financial Reinforcement Learning. 🔥

finrl-meta

FinRL-Meta: Dynamic datasets and market environments for FinRL.

mckinsey-smartcities-traffic-prediction

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

megatron-lm

Ongoing research training transformer language models at scale, including: BERT

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

openctp

CTP开放平台提供A股、港股、美股、期货、期权等全品种接入通道，通过提供中泰证券XTP、华鑫证券奇点、东方证券OST、东方财富证券EMT、盈透证券TWS等各通道的CTPAPI接口，CTP程序可以无缝对接各股票柜台。平台也提供了一套基于TTS交易系统的模拟环境，同样提供了CTPAPI兼容接口，可以替代Simnow，为CTP量化交易开发者提供7x24可用的模拟环境。

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

tushare

TuShare is a utility for crawling historical data of China stocks

vscode-rainbow-fart

这是一个在你编程时疯狂称赞你的 VSCode 扩展插件

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