kellywzhang

kellywzhang's Stars

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.1k9981.1k9.6k

• huggingface/peft

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

  Language:Python16.3k1101.1k1.6k

• iSoron/uhabits

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

  Language:Kotlin7.9k137706935

• google-deepmind/neural-processes

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

  Language:Jupyter Notebook985429149

• bytedance/monolith

  ByteDance's Recommendation System

  Language:Python8744915125

• google-research/recsim

  A Configurable Recommender Systems Simulation Platform

  Language:Python7453730129

• FeiSun/BERT4Rec

  BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

  Language:Python6121018158

• p-lambda/wilds

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

  Language:Python5482054126

• AmazaspShumik/sklearn-bayes

  Python package for Bayesian Machine Learning with scikit-learn API

  Language:Jupyter Notebook5143442118

• google-deepmind/enn

  Language:Python293141055

• montrealrobotics/DeepRLInTheWorld

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

  21619228

• automl/TransformersCanDoBayesianInference

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

  Language:Python18415324

• nextml/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.

  Language:Python1602216754

• xnie/rlearner

  Quasi-Oracle Estimation of Heterogeneous Treatment Effects

  Language:R1038522

• martyput/MDP_book

  93817

• tristantao/py-ms-cognitive

  Thin wrapper for the Microsoft Cognitive Services

  Language:Python6051725

• albietz/cb_bakeoff

  scripts for evaluation of contextual bandit algorithms

  Language:Python43318

• andrewk1/pytorch-deep-bayesian-bandits

  PyTorch port and extension of the Deep Bayesian Bandits Library

  Language:Jupyter Notebook42709

• DigitalBiomarkerDiscoveryPipeline/Digital_Health_Data_Repository

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

  39537

• klasnja/HeartStepsV1

  Data from the HeartSteps V1 study

  10301

• spotify-research/impatient-bandits

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

  Language:Jupyter Notebook9303

• szhang42/Uneven_training_data

  Language:Python9113

• StatisticalReinforcementLearningLab/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

  Language:Jupyter Notebook7704

• tqian/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.

  Language:R4102

• mgoplerud/FactorHet

  Language:R3101

• kellywzhang/kellywzhang.github.io_old

  Language:HTML2200

• Yashnair123/RTs-for-AdaptiveData

  Language:Python210

• lmackey/gauss_conc

  Efficient Concentration with Gaussian Approximation

  Language:Jupyter Notebook1100

• UChicago-pol-methods/Misinformation-replication

  Replication files for

  Language:HTML1130

• uniformlyconvex/banditexperiments

  Messing around with some multi-armed bandits

  Language:Python1