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haowencs's Projects

deep_spde icon deep_spde

Source code related to the article "Deep learning based numerical approximation algorithms for stochastic partial differential equations and high-dimensional nonlinear filtering problems" by Christian Beck, Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, and Ariel Neufeld

drbqo icon drbqo

Code for our AISTATS 2020 paper "Distributionally Robust Bayesian Quadrature Optimization"

duckdb icon duckdb

DuckDB is an in-process SQL OLAP Database Management System

edgedb icon edgedb

A graph-relational database with declarative schema, built-in migration system, and a next-generation query language

emcee icon emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

equiv-nn-svm icon equiv-nn-svm

Codes for NeurIPS 2021 paper "On the Equivalence between Neural Network and Support Vector Machine".

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

examples_ml_bo icon examples_ml_bo

Home for Elasticsearch examples available to everyone. It's a great way to get started.

fsbo icon fsbo

Few Shot Bayesian Optimization

googletest icon googletest

GoogleTest - Google Testing and Mocking Framework

gp4a icon gp4a

Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

hu-fu icon hu-fu

Hu-Fu: Efficient and Secure Spatial Queries over Data Federation

jes-botorch icon jes-botorch

BOTorch implementation of Joint Entropy Search for Maximally-Informed Bayesian Optimization

kalmanfilter icon kalmanfilter

Note and code for: Kalman Filtering: Theory and Practice using MATLAB by Mohinder S. Grewal and Angus P. Andrews.

knobstuningea icon knobstuningea

An Experimental Evaluation for Database Configuration Tuning

learn4db_survey icon learn4db_survey

Literature suvery for hardware for analytical query. PR are welcome.

leetcode icon leetcode

:pencil2: LeetCode solutions in C++ 11 and Python3

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