Mengyanz

GPOO

QSAR

The implementation of paper Quantile Bandits for Best Arms Identification

acton

Active Learning: Predictors, Recommenders and Labellers

acton-experiment

Experiments for acton (graph extension)

botorch

Bayesian optimization in PyTorch

cmLab

website source for the computational media lab

deconditional-downscaling

This repo contains materials for the "Deconditional Dowscaling with Gaussian Processes" NeurIPS 2021 paper

eheye

Research on predicting edges on a graph

GPy

Gaussian processes framework in python

KGs

dataset or visualisation of KGs

LaTex_practices_for_ML

This repository includes documents for LaTex best practices for Machine Learning. Feel free to contribute ideas.

Mengyanz.github.io

opt-mva

Paper_notes

PLM4NewsRec

QuantUCB_Poster

RMIT-NCI-Week

scikit-learn

scikit-learn: machine learning in Python

starter-hugo-research-group

👥 轻松创建研究组或组织网站 Create a stunning Research Group, Team, or Organization Website with Hugo

Thompson_sampling

code for thompson sampling

Weekly_meeting

notes for weekly meeting

zr-obp

Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation