Haonan Zhang's Projects
Notes and Python scripts for A/B or Split Testing
Repo for Yale Applied Empirical Methods PHD Course
A PhD course in Applied Econometrics and Panel Data
A curated list of awesome Deep Learning tutorials, projects and communities.
TensorFlow code and pre-trained models for BERT
Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.
Materials for 2019 MSiA Bootcamp
Java-Based Context-aware Recommendation Library
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
A complete computer science study plan to become a software engineer.
Computational Economics Course 2020 by Kenneth Judd
A full-stack web application utilizing AWS RDS for cloud backend storage, a fully reproducible random forest model pipeline for inference, CSS, HTML, and Flask App for the user-facing website, and Docker for deployment.
Encodings that map abstract data to visual representation.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
An implementation of a deep learning recommendation model (DLRM)
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.
Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Flask app that will get you up and running on AWS (also uses RDS as a database)
Forecasting lectures and tutorials using Python
Interactive data visualization of gun violence incidents with D3.js, JavaScript, HTML5, CSS
Robust inference in difference-in-differences and event study designs
Image augmentation for machine learning experiments.
Spring 2020 AEM 7130: Dynamic Optimization/Computational Methods