haonanzhang-vv Goto Github PK

ab-framework

Notes and Python scripts for A/B or Split Testing

applied-methods-phd

Repo for Yale Applied Empirical Methods PHD Course

applied_metrics

A PhD course in Applied Econometrics and Panel Data

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

bert

TensorFlow code and pre-trained models for BERT

beyond-leetcode-sql

Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.

bootcamp-2019

Materials for 2019 MSiA Bootcamp

carskit

Java-Based Context-aware Recommendation Library

chameleon_recsys

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

coding-interview-university

A complete computer science study plan to become a software engineer.

compecon2020

Computational Economics Course 2020 by Kenneth Judd

customer-churn-predictor-app

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.

d3-scale

Encodings that map abstract data to visual representation.

d3project

data-science-ipython-notebooks

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.

deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

did_

dlrm

An implementation of a deep learning recommendation model (DLRM)

dowhy

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.

dse2023

Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland

fall-2020

financepy

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

flask-aws-tutorial

Flask app that will get you up and running on AWS (also uses RDS as a database)

forecasting

Forecasting lectures and tutorials using Python

gun-violence-data-visualizations

Interactive data visualization of gun violence incidents with D3.js, JavaScript, HTML5, CSS

haonanzhang.github.io

honestdid

Robust inference in difference-in-differences and event study designs

imgaug

Image augmentation for machine learning experiments.

ivan_rudik_computational_economics

Spring 2020 AEM 7130: Dynamic Optimization/Computational Methods