chongjia7 Goto Github PK
Name: JY Chong (Tiny)
Type: User
Bio: U of Toronto
JY Chong (Tiny)'s Projects
algorithm
Algorithm Problems I solved... as a hobby
applieddatascience_michigan
baruch-mfe-lab
Baruch MFE program quant lab
blockchain_guide
Introduce blockchain related technologies, from theory to practice with bitcoin, ethereum and hyperledger.
blockchainatm
区块链ATM交易所个人作品
book
个人认为对技术提升很不错的书
book-1
books
Tool books for programming
cen4020
commondatastructures
consensys-academy-bootcamp-2019-final-project
Final Project for ConsenSys Academy’s 2019 Bootcamp
dataanalytics
Collection of projects about data analytics
decentralizedapps
DApps implemented in smart contracts + front & back end. (Tools: Ethereum Dev Tools, Solidity, HTML, Javascript)
deep-learning
Convolutional NN & Sequence Model
doc
有关区块链知识的技术文档
fifty-challenging-problems-in-probability
My solutions to the problems in Fifty Challenging Problems in Probability by Frederick Mosteller
financialengineering18
Master of Financial Engineering from Baruch College, City University of New York
introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
machine-learning-for-trading
Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading
machine-learning-in-finance
mybooks
my books
mybooks-1
nova
证券投资交易分析系统程序及文档资料
physicstermpapers
Undergraduate Term Papers for Computational Physics (Fall 2017) and Time Series (Spring 2018) ( Tools: Python, Tensorflow, Keras)
py_cap
Python utilities for running GCAP (a source mechanism inversion code by Zhu L.)
quanttrading
resume
Collection of Resumes (over the years)
rl_trading
An environment to high-frequency trading agents under reinforcement learning
seismology
Source Mechanism Inversion of Induced Seismic Activity around Central Oklahoma, U.S.A. (Tools: Python, Obspy, gCAP & FK package, SAC Processing tools))
sgx-full-orderbook-tick-data-trading-strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
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