Pinned Repositories
2021-CS109B
51bitquant
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
Awesome Incremental Learning
BanditLib
Library of contextual bandits algorithms
batch-active-preference-based-learning
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.
biobootcamp
bitpredict
Machine learning for high frequency bitcoin price prediction
Chicago-Course-Work
Work for courses taken at University of Chicago
course_codes
VNPY 2020 Python数字货币量化交易视频教程课程代码和资料
robotics
yuwei-cheng's Repositories
yuwei-cheng/robotics
yuwei-cheng/2021-CS109B
yuwei-cheng/51bitquant
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
yuwei-cheng/Awesome-Incremental-Learning
Awesome Incremental Learning
yuwei-cheng/BanditLib
Library of contextual bandits algorithms
yuwei-cheng/biobootcamp
yuwei-cheng/course_codes
VNPY 2020 Python数字货币量化交易视频教程课程代码和资料
yuwei-cheng/covid19_critically_ill
Trained model and inference code for early triage of critically-ill COVID-19 patients.
yuwei-cheng/CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
yuwei-cheng/DeepBeerInventory-RL
The code for the SRDQN algorithm to train an agent for the beer game problem
yuwei-cheng/eBay
Replication files for "Optimal Bargaining on eBay"
yuwei-cheng/systematic_review
yuwei-cheng/famous_quotations
Just for fun and inspirations :)
yuwei-cheng/fastbook
The fastai book, published as Jupyter Notebooks
yuwei-cheng/gym-mo
Simulation environments for Multi-Objective Reinforcement Learning (MORL)
yuwei-cheng/HighwayEnv
A minimalist environment for decision-making in autonomous driving
yuwei-cheng/howtrader
howtrader: how to be a quant trader, forked from vnpy with easy installation and deployment
yuwei-cheng/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
yuwei-cheng/minihack
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
yuwei-cheng/misc
Miscellaneous collections of curiosity
yuwei-cheng/NUSHPC
yuwei-cheng/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
yuwei-cheng/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
yuwei-cheng/screening-decision-cm
yuwei-cheng/stockpredictionai
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.
yuwei-cheng/test
test
yuwei-cheng/tradeAnalysis
yuwei-cheng/UofT
Some of my work from my studies at UofT
yuwei-cheng/visualization_repos
This is a warehouse for commonly used graphs
yuwei-cheng/yuwei-cheng.github.io