Alaya-in-Matrix/BNN

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Python
Created over 5 years ago
Updated over 4 years ago

Alaya-in-Matrix/BNN

Alaya-in-Matrix

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Bayesian neural network implementations

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

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

clash-haskell-fpga

Using CLaSH to run haskell on FPGA

SparseGP

Sparse Gaussian process: VFE and SVI-GP

record-vim-time

record how long you have spent on vim per day

Hypervolume-HSO

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

Wrapper_Batch_BO

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

priority_queue_haskell_fpga

use CLaSH to describe a priority queue and compile it to verilog

MOO

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

MVMO

C++ implementation of the Mean Variance Mapping Optimization algorithm

Chinese-chess

simple command line chinese chess game

fudanCourseProjectParallelYu

course project and home work of parallel architecture and programming