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Name: Zitong
Type: User
Bio: What's up people
Location: Toronto
Name: Zitong
Type: User
Bio: What's up people
Location: Toronto
Extract the Management Discussion and Analyses (MD&A) section from 10K Financial Statements
Interactive Presentations for Financial Education using R/Shiny. See full list of presentations (with links) below.
A new approach to predicting analyst forecast errors: Do investors overweight analyst forecasts?https://www.sciencedirect.com/science/article/pii/S0304405X13000329
Repository for code and metadata to support work described in "Authorless Topic Models: Biasing Models Away from Known Structure"
Quant/Algorithm trading resources with an emphasis on Machine Learning
Random Forest - a curated list of resources regarding random forest
Replicate "Bond Risk Premia" by John H. Cochrane, Monika Piazzesi in Python
Replication material for the paper "Expected Business Conditions and Bond Risk Premia"
An introductory course on causal inference. Designed for undergraduate students with only a working knowledge of R and multiple regression. Light on maths, heavy on intuition and practical examples.
Must-read papers and resources related to causal inference and machine (deep) learning
Simple Versioned Datasets With Github Actions | In Less Than 10 Lines Of Python | Preserving The History of Notable CEOs
Replication of Philippon and Guitierrez (2017), “Investment less Growth: An Empirical Investigation”
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Replication for Common Owner 1980-2017
Computational Economics Course 2020 by Kenneth Judd
Algorithmic game theory, recursive macroeconomics, machine learning for econometrics
Econ Computing Class at Cornell
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
Code examples in pyTorch and Tensorflow for CS230
Collection of useful data science topics along with code and articles
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
Repo for the Deep Learning Nanodegree Foundations program.
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Event studies: robust and efficient estimation, testing, and plotting
This git repository is based on the work of J.Heaton, N.Polson and J.Witte and their articleDeep Learning for Finance: Deep Portfolios. This paper let us explore the use of deeplearning models for problems in financial prediction and classification. Our goal isto show how applying deep learning methods to these problems can produce betteroutcomes than standard methods in finance or in Machine Learning
Settings for various tools I use.
Dynamic Topic Modeling via Non-negative Matrix Factorization
Code for "How Is Earnings News Transmitted to Stock Prices?"
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.