Name: Yang Wang
Type: User
Company: Temple University
Bio: Asst. Professor of Marketing @ Temple.
Interested in causal inference and ML. Current coding projects: reinforcement learning & dynamic
causal optimization
Location: Philadelphia, PA
Blog: yangwangresearch.com
Yang Wang's Projects
Dynamic Neural Network Programming with PyTorch, published by Packt
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
Python package to scrape product review data from amazon
Uplift modeling and causal inference with machine learning algorithms
Stanford CS229 (Autumn 2017)
Conditional Transformer Language Model for Controllable Generation (https://einstein.ai/presentations/ctrl.pdf)
Achieve your marketing goals with the data analytics power of Python
Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51
PyTorch implementations of deep reinforcement learning algorithms and environments
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Code from the Deep Reinforcement Learning in Action book from Manning, Inc
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Crawl data from Dianping.com using Scrapy
Paper
Python code for dynamic facctor model. (Preliminary and in progress)
Tools for the estimation of (structural) econometric models.
Implementation of forward DID
Code Implementation of TDS Article "Semi-supervised Intent Classification with GAN-BERT"
Implementation and experiments of graph embedding algorithms.
Hierarchical Reinforcement Learning on Space Fortress
Selenium based IG Scraper
Scrapes an instagram user's photos and videos
markov clustering in python
Machine Learning Resources, Practice and Research