alaya-in-matrix Goto Github PK

anjelica

Parsers for some interesting programming language, written in Haskell, using Parsec

bamsoo

BamSOO Optimization

bnn

Bayesian neural network implementations

chinese-chess

simple command line chinese chess game

clash-compiler

CAES Language for Synchronous Hardware

clash-haskell-fpga

Using CLaSH to run haskell on FPGA

clash-processor

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

differential_evolution

Differential Evolution algorithm and some of its variants.

dummy_repo

A dummy repo that does nothing

fudancourseprojectparallelyu

course project and home work of parallel architecture and programming

gcd_gpt

Learn greatest common divisor with GPT-like architecture

gp

A library for Gaussian process regression

gpyopt

Gaussian Process Optimization using GPy

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

hypervolume-hso

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

learn2branch

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

mace

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

modern_template_pandoc

Pandoc beamer presentation with a modern template

moo

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

mvmo

C++ implementation of the Mean Variance Mapping Optimization algorithm

myopt

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

neural-processes

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

neurallinear

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

optimizationalgorithm

Some optimization algorithms for my graduate student course.

osfta

One sample to find them all

pandoc-template

Pandoc templates for my report in EDA group weekly meeting.

playground

priority_queue_haskell_fpga

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

pymace

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

pymoo

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