Pei Mu's repositories
easy_compiler
easy_compiler
findPhdPositions
Hope this could be helpful when you're struggling with finding a suitable PhD/postDoc position.
llvm-project
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.
torch-mlir
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
crazyflie-firmware-llvm-cmake
crazyflie firmware compile with LLVM and generate IR files. Run and test successfully with llvm-13, crazyflie 2.1. The modifications are only shown in the `llvm-ir` branch.
crazyflie-firmware-llvm-ir
The main firmware for the Crazyflie Nano Quadcopter, Crazyflie Bolt Quadcopter and Roadrunner Positioning Tag. This repo is to compile with Clang/LLVM and generate LVM IR
duckdb
DuckDB is an in-process SQL OLAP Database Management System
happy-birthday_2
Wish your friend/loved-ones happy birthday in a nerdy way.
happy_birthday_1
A Happy Birthday animation design in CSS3, HTML5
imdb_job-postgres
Join Order Benchmark (JOB)
monet-benchmarks-scripts
Tools for work with the TPC-H benchmark and MonetDB
MonetDB
This is the official mirror of the MonetDB Mercurial repository. Please note that we do not accept pull requests on github. The regression test results can be found on the MonetDB Testweb https://www.monetdb.org/testweb/web/status.php .For contributions please see: https://www.monetdb.org/documentation/dev-guide/
openmlsys-zh
《Machine Learning Systems: Design and Implementation》- Chinese Version
skinnerdb
SkinnerDB is an analytical database management system. It uses adaptive processing and reinforcement learning to find near-optimal join orders.
tpch-mysql
tools for TPC-H benchmark on MySQL
tpch-postgres
TPC-H benchmark for PostgreSQL
VITSLink-AI
English voice to Japanese or Chinese synthetic voice. This project utilizes ChatGPT API and whisper to provide English text to Japanese translation while using VITS for text to speech