Wenlong Lyu (Alaya-in-Matrix)

Alaya-in-Matrix

Geek Repo

Company:Huawei Noah's Ark Lab

Location:China,Shanghai

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Wenlong Lyu's repositories

MACE

code for the ICML2018 paper "Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design"

CLaSH-Processor

A simple processor running on FPGA written in Haskell(CLaSH) and compiled into verilog

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pyMACE

Python implementation of the MACE Bayesian optimization algorithm, with GPy used as the backend GP library

NeuralLinear

Multi-output Gaussian process regression via multi-task neural network

SparseGP

Sparse Gaussian process: VFE and SVI-GP

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record-vim-time

record how long you have spent on vim per day

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BNN

Bayesian neural network implementations

Hypervolume-HSO

Calculate hypervolume via Hypervolume by Slicing Objectives(HSO) algorithm.

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Wrapper_Batch_BO

A simple wrapper of several batch bayesian optimization algorithms(LP,qKG,qEI)

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GPyOpt

Gaussian Process Optimization using GPy

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MOO

multi-objective optimization via differential evolution and non-dominated sorting

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MVMO

C++ implementation of the Mean Variance Mapping Optimization algorithm

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pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

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Pandoc-Template

Pandoc templates for my report in EDA group weekly meeting.

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BamSOO

BamSOO Optimization

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Differential_Evolution

Differential Evolution algorithm and some of its variants.

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dummy_repo

A dummy repo that does nothing

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gcd_gpt

Learn greatest common divisor with GPT-like architecture

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GP

A library for Gaussian process regression

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gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

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learn2branch

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

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modern_template_pandoc

Pandoc beamer presentation with a modern template

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MyOpt

Gradient base unconstrained optimization algorithm(BFGS,CG,RProp) with a nlopt-like interface

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neural-processes

Pytorch implementation of Neural Processes for functions and images :fireworks:

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OSFTA

One sample to find them all

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pysgmcmc

Stochastic Gradient MCMC Methods for pytorch

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TU-Eindhoven-Reveal.js-Theme

An unofficial TU/e theme for the reveal.js presentation framework.

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VAE

Use variational autoencoder to generate some images

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