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Slide host for the advanced econometrics course for undergraduates
API Documentation
Repo for Yale Applied Empirical Methods PHD Course
Replication package for Bonhomme Lamadon and Manresa paper, A distributional framework for matched data
PhD Applied Econometrics class taught at UC Berkeley
Curated research at the intersection of causal inference and natural language processing.
Community Discovery Library - (for networkx and igraph)
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
python implementation of Peng Ding's "First Course in Causal Inference"
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Dynamic Network Analysis library
Understanding emotions from audio files using neural networks and multiple datasets.
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Constructing Financial Sentimental Factors in Chinese Market Using Techniques of Natural Language Processing
Used text analytics (NLP) and machine learning to determine the true earnings quality of publicly listed companies
Financial Sentiment Analysis with BERT
Sentiment analyzer that predicts the review star ( from 0 to 5, continuously) of given food text review.
GAMI-Net: Generalized Additive Models with Structured Interactions
Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Fit interpretable models. Explain blackbox machine learning.
Lecture notes for EC 607
Code Repository for MS20190155
Creating real estate dictionaries using methods in Nowak, Price, Smith "Real estate dictionaries across space and time", Journal of Real Estate Finance and Economics, 2019
The Open Jobs Observatory public mirror repo
Examples, code snippets and small packages for working with labour market data
Code and Data for "Predicting First Impressions with Deep Learning"
Text analysis of President Santos' speeches
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.