kellywzhang

banditexperiments

Messing around with some multi-armed bandits

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

DeepRLInTheWorld

From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..

pytorch-deep-bayesian-bandits

PyTorch port and extension of the Deep Bayesian Bandits Library

Digital_Health_Data_Repository

The DHDR (Digital Health Data Repository) is a repository with sample data for use with the DBDP.

Uneven_training_data

py-ms-cognitive

Thin wrapper for the Microsoft Cognitive Services

rlearner

Quasi-Oracle Estimation of Heterogeneous Treatment Effects

wilds

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

uhabits

Loop Habit Tracker, a mobile app for creating and maintaining long-term positive habits

impatient-bandits

Code for the paper "Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay".

sklearn-bayes

Python package for Bayesian Machine Learning with scikit-learn API

neural-processes

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

FactorHet

bert

TensorFlow code and pre-trained models for BERT

recsim

A Configurable Recommender Systems Simulation Platform

monolith

ByteDance's Recommendation System

TransformersCanDoBayesianInference

Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper

Misinformation-replication

Replication files for

RTs-for-AdaptiveData

cb_bakeoff

scripts for evaluation of contextual bandit algorithms

BERT4Rec

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

kellywzhang.github.io_old

enn

binary-outcome-mrt

Code to reproduce results in the paper "Estimating time-varying causal excursion effect in mobile health with binary outcomes" (Biometrika, 2020) by Tianchen Qian et al.

NEXT

NEXT is a machine learning system that runs in the cloud and makes it easy to develop, evaluate, and apply active learning in the real-world. Ask better questions. Get better results. Faster. Automated.

HeartStepsV1

Data from the HeartSteps V1 study

Stat-ML-CDT-2023

This repo contains the content for the RL course at the one-week StatML CDT Summer School 2023 by Raaz Dwivedi, Susan Murphy & Kelly Zhang

gauss_conc

Efficient Concentration with Gaussian Approximation

oralytics_reward_design

Code for "Reward Design For An Online Reinforcement Learning Algorithm For Supporting Oral Self-Care” Paper