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haowencs's Projects

pg_plan_inspector icon pg_plan_inspector

A framework to monitor and improve the performance of PostgreSQL using Machine Learning methods.

pml-book icon pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

postgres icon postgres

Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch

pybnn icon pybnn

Bayesian neural network package

readings icon readings

Interesting readings and talks on computer science

reinforcement_learning_tutorial_with_demo icon reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

restune icon restune

Resource-oriented tuning system boosted by meta-learning for cloud database

robo icon robo

RoBO: a Robust Bayesian Optimization framework

rocksdb icon rocksdb

A library that provides an embeddable, persistent key-value store for fast storage.

rustgym icon rustgym

Leetcode Solutions in Rust, Advent of Code Solutions in Rust and more

scikit-optimize icon scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

sde-filtering icon sde-filtering

Bayesian Filtering for Stochastic Differential Equation based State Space Models: Course Project for "Nonlinear Filtering and Parameter Estimation"

sgi-stl icon sgi-stl

剖析 STL 是一种享受的过程!

stlsourcecodenote icon stlsourcecodenote

SGI STL source code analysis and note from 《STL源码剖析》 by 侯捷(包含电子书、源码注释及测试代码)

tinydb icon tinydb

TinyDB is a lightweight document oriented database optimized for your happiness :)

torch-neural-ssm icon torch-neural-ssm

Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting

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