Hayden Le's starred repositories
Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
pokersolver
Javascript poker hand solver.
awesome-poker
:spades: :hearts: :clubs: :diamonds: A curated list of awesome poker resources & tools to improve your game.
MidJourney-Styles-and-Keywords-Reference
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
versatile-data-kit
One framework to develop, deploy and operate data workflows with Python and SQL.
awesome-data-engineering
A curated list of data engineering tools for software developers
moreThanFAANGM
This repository contains opportunities for you to apply to more than 400 product base companies(NOT JUST FAANGM) & good start-ups.
public-apis
A collective list of free APIs
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
automating-technical-analysis
Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.
project-based-learning
Curated list of project-based tutorials
Become-A-Full-Stack-Web-Developer
Free resources for learning Full Stack Web Development
PayloadsAllTheThings
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
AddictedtoKQL
This is an advanced KQL blog series and book
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
awesome-selfhosted
A list of Free Software network services and web applications which can be hosted on your own servers
FinanceDatabase
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
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.