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Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
Resources for a PhD class module focused on anomalies.
This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
MATLAB Toolkit that accompanies Novy-Marx and Velikov (2023)
Reimplementation of Autoencoder Asset Pricing Models (GKX, 2019)
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Python Backtesting library for trading strategies
Bayesian Analysis with Python (Second Edition)
A template for a presentation using `beamer` in Economics in Nord colour palette.
This project is based upon the paper: Frazzini, A. & Pedersen, L. (2014). Betting against beta.
Replication code for Chen and Velikov (2021), Zeroing in on the expected returns of anomalies.
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
CodeWithMosh_Sql_LearningNotes
Diffusion-Based Approximate Value Functions
A deep learning model for Financial Signal Representation and Trading
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Replication code for Detzel, Novy-Marx, and Velikov (2022), Model Comparison with Transaction Costs.
Diffusion model papers, survey, and taxonomy
python implementation of Peng Ding's "First Course in Causal Inference" https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ZX3VEV
Financial Econometrics module (MSc level)
Big Data Applications in Finance module (MSc level)
Calculate U.S. equity (portfolio) characteristics
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Retrieve data for various multi-factor asset pricing models.
Graph Machine Learning course, Xavier Bresson, 2023
Game Theory Explorer
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.