ZhengtongYan

ZhengtongYan

Geek Repo

Company:University of Helsinki

Location:Helsinki

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ZhengtongYan's repositories

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Quantum-Reinforcement-Learning

Implementation of proof of concept quantum enhanced reinforced learning algorithm, able to find the sequence of quantum gates needed to approximate a given function.

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quantum-rl

Reinforcement Learning with Variational Quantum Circuits

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quantum_reinforcement_learning

Study of entanglement and Shannon entropies in Quantum Reinforcement Learning (and its classical counterpart) in a discrete environment.

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workload-performance

Graph Embedding for Query Performance Prediction (PVLDB Paper Code)

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500lines

500 Lines or Less

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aichess

使用alphazero算法打造属于你自己的象棋AI

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Database-Courses

This repository contains the famous courses about databases, such as the courses of MIT, CMU, and TiDB.

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DeepRL

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

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End-to-End-CardEst-Benchmark

A new CardEst Benchmark to Bridge Algorithm and System

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Hands-on-RL

https://hrl.boyuai.com/

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join-ordering-strategies-JOB

this repo contains diffrents strategies for join ordering : deterministic , randomized, genetic algorithm (Bechmark : JOB)

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LearnedRewrite

MCTS for query rewrite

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leveldb

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

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libpg_query

C library for accessing the PostgreSQL parser outside of the server environment

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MIT-6.824-Distributed-Systems

Basic Sources for MIT 6.824 Distributed Systems Class

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ottertune

The automatic DBMS configuration tool

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postgres-gpuqo

Postgres fork with experimental GPU query optimizer

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quantumcomputingbook

Companion site for the textbook Quantum Computing: An Applied Approach

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relational-graph-processing

A collection of resources on multi-way worst-case optimal join algorithms

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rl_index_selection

Paper repository for "SWIRL: Selection of Workload-aware Indexes using Reinforcement Learning" (EDBT 2022)

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simple-db-hw-2021

MIT 6.830数据库课程实验,该实验环境是基于一个简单的数据库实现,完成这些实验有助于我们逐步了解如何一步步实现一个数据库,这个可以和CMU的数据库实验课一起对比完成。MIT课程用的是Java,而CMU课程用的是C++,正好把Java和C++再熟悉一下,这两个完成以后可以考虑实现TiDB的Talent,学习Go和Rust语言以及学习分布式数据库的实现!

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SimpleNES

An NES emulator in C++

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starter-hugo-academic

🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.

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tensorcircuit

Tensor network based quantum circuit simulator for the NISQ era

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