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Name: Theau Heral
Type: User
Company: Goldman Sachs
Location: London, UK
Name: Theau Heral
Type: User
Company: Goldman Sachs
Location: London, UK
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
An awesome repository of other awesome-finance repositories
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Quant/Algorithm trading resources with an emphasis on Machine Learning
backtrader documentation
Collection of notes
Materials for the useR2017 tutorial on changepoint detection
summer school coursework
Roadmap to becoming a data engineer in 2021
A list of online resources for quantitative modeling, trading, portfolio management
A curated list of practical financial machine learning tools and applications.
Books
⚡ Building applications with LLMs through composability ⚡
Legend Studio module
A complete daily plan for studying to become a machine learning engineer.
MIRC Team for the 2018/2019 year
Website dedicated to a book on machine learning for factor investing
Path to a free self-taught education in Business
Product Notes
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Contains all the Jupyter Notebooks used in our research
ruptures: change point detection in Python
Extraction and analysis of telemetry from SpaceX webcasts
Statsmodels: statistical modeling and econometrics in Python
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
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.
Premium eBook free for Geeks
A collection of telemetry captured from SpaceX Launch Webcasts
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.