phamanhtu17295 Goto Github PK
Name: Tu Pham
Type: User
Bio: “If you want the best the world has to offer, offer the world your best.” ― Neale Donald Walsh —
Tu Pham's Projects
atom
:atom: The hackable text editor
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
backtrader
Python Backtesting library for trading strategies
blockchain_investment_research
coding-interview-university
A complete computer science study plan to become a software engineer.
finrl-library
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥
first-contributions
🚀✨ Help beginners to contribute to open source projects
github-slideshow
A robot powered training repository :robot:
how-to-invest-in-blockchain
interpretable-ml-book
Book about interpretable machine learning
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
markdown
pgportfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
podcast-the-tail-end
polyglot
Multilingual text (NLP) processing toolkit
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
qstrader
QuantStart.com - QSTrader backtesting simulation engine.
quantitative-finance
rada.content
real_estate_research
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