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Name: Yuwei Cheng
Type: User
Company: UChicago
Bio: :)
Location: Chicago
Name: Yuwei Cheng
Type: User
Company: UChicago
Bio: :)
Location: Chicago
51bitquant Python数字货币量化交易视频 CCXT框架 爬取交易所数据 比特币量化交易 交易机器人51bitquant tradingbot cryptocurrency quantitative trading btc trading
Awesome Incremental Learning
Library of contextual bandits algorithms
Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot Learning (CoRL), Zurich, Switzerland, Oct. 2018.
Machine learning for high frequency bitcoin price prediction
Work for courses taken at University of Chicago
VNPY 2020 Python数字货币量化交易视频教程课程代码和资料
Trained model and inference code for early triage of critically-ill COVID-19 patients.
Cracking the Coding Interview 6th Ed. Python Solutions
The code for the SRDQN algorithm to train an agent for the beer game problem
Replication files for "Optimal Bargaining on eBay"
Just for fun and inspirations :)
The fastai book, published as Jupyter Notebooks
Simulation environments for Multi-Objective Reinforcement Learning (MORL)
A minimalist environment for decision-making in autonomous driving
howtrader: how to be a quant trader, forked from vnpy with easy installation and deployment
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
Miscellaneous collections of curiosity
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
MXNet Workshop in Hong Kong 2018
A latex template for the convenience of NUS students to prepare for their presentation slides.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Python Data Science Handbook: full text in Jupyter Notebooks
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.
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.