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Onboarding guide for research and analysis
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Replication data and code for "Structural Estimation of Behavioral Heterogeneity"
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
Materials for a course at NYU Stern using Python to study economic and financial data.
Derivatives Analytics with Python (Wiley Finance)
Notebooks that replicate original quantitative finance papers from Emanuel Derman
Course materials for Ec240a "Econometrics" at UC Berkeley.
ECON2125/8013 course files
Slides for A Primer in Econometric Theory
Graduate level econometrics labs in Python/R
Notes and examples about Portfolio Construction and Analysis with Python (Jupyter notebooks)
Research in investment finance with Python Notebooks
A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)
Collection of notebooks about quantitative finance, with interactive python code.
Python module to get real-time stock data from Google Finance API
This is a guide for how one can prepare for GRE within a month's duration.
Python toolkit for quantitative finance
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
introductory course to microeconometrics on the graduate level
My codework for my economics undergraduate thesis titled "Empirical Asset Pricing via Deep Learning"
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
iversity course -- python implementation
Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.
Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.
This is the course material for my 2020 Bayesian inference class at NYU.
Course notes for the first half of ECON-GA 1025 – Macroeconomic Theory I, Fall Semester 2018
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.