Yuwei Cheng's repositories
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
course_codes
VNPY 2020 Python数字货币量化交易视频教程课程代码和资料
covid19_critically_ill
Trained model and inference code for early triage of critically-ill COVID-19 patients.
CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
DeepBeerInventory-RL
The code for the SRDQN algorithm to train an agent for the beer game problem
eBay
Replication files for "Optimal Bargaining on eBay"
famous_quotations
Just for fun and inspirations :)
fastbook
The fastai book, published as Jupyter Notebooks
gym-mo
Simulation environments for Multi-Objective Reinforcement Learning (MORL)
HighwayEnv
A minimalist environment for decision-making in autonomous driving
howtrader
howtrader: how to be a quant trader, forked from vnpy with easy installation and deployment
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
minihack
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
misc
Miscellaneous collections of curiosity
ML-NLP
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。
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
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.
UofT
Some of my work from my studies at UofT
visualization_repos
This is a warehouse for commonly used graphs