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yeasoon's Projects

amx icon amx

Apple AMX Instruction Set

archprobe icon archprobe

A profiler to disclose and quantify hardware features on GPUs.

arm_neon_2_x86_sse icon arm_neon_2_x86_sse

The platform independent header allowing to compile any C/C++ code containing ARM NEON intrinsic functions for x86 target systems using SIMD up to SSE4 intrinsic functions

computelibrary icon computelibrary

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

enas-pytorch icon enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

gflags icon gflags

The gflags package contains a C++ library that implements commandline flags processing. It includes built-in support for standard types such as string and the ability to define flags in the source file in which they are used. Online documentation available at:

isd icon isd

Information Set Decoding

llm.c icon llm.c

LLM training in simple, raw C/CUDA

maxas icon maxas

Assembler for NVIDIA Maxwell architecture

megcc icon megcc

MegCC是一个运行时超轻量,高效,移植简单的深度学习模型编译器

megengine icon megengine

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

muduo icon muduo

A C++ non-blocking network library for multi-threaded server in Linux

neon icon neon

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

prange_isd icon prange_isd

C++ implementation of the Prange information set decoding algorithm

prev.rust-lang.org icon prev.rust-lang.org

The previous Rust website. The current website's code is at https://github.com/rust-lang/www.rust-lang.org.

ripes icon ripes

A graphical processor simulator and assembly editor for the RISC-V ISA

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

tpu-mlir icon tpu-mlir

Machine learning compiler based on MLIR for Sophgo TPU.

upx icon upx

UPX - the Ultimate Packer for eXecutables

xnnpack icon xnnpack

High-efficiency floating-point neural network inference operators for mobile, server, and Web

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