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androidsensorsampler_lz

archie

ARCHIE is a QEMU-based architecture-independent fault evaluation tool, that is able to simulate transient and permanent instruction and data faults in RAM, flash, and processor registers.

arm-fault-simulator

cltdata

cltdata

darknet

Convolutional Neural Networks

dcbrain

dcbrain

filter1

fire-smoke-detect-yolov4

fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测

gg_vue_lib

gpufi-4

gpuFI-4 is a detailed microarchitecture-level fault injection framework to assess the cross-layer vulnerability of hardware structures and entire Nvidia GPU chips for single and multiple bit faults, built on top of the state-of-the-art simulator GPGPU-Sim 4.0.

guoshui

by mark

jsherp

华夏ERP基于SpringBoot框架和SaaS模式，立志为中小企业提供开源好用的ERP软件，目前专注进销存+财务功能。主要模块有零售管理、采购管理、销售管理、仓库管理、财务管理、报表查询、系统管理等。支持预付款、收入支出、仓库调拨、组装拆卸、订单等特色功能。拥有库存状况、出入库统计等报表。同时对角色和权限进行了细致全面控制，精确到每个按钮和菜单。

lltfi

LLTFI is a tool, which is an extension of LLFI, allowing users to run fault injection experiments on C/C++, TensorFlow and PyTorch applications at the LLVM IR level.

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.

logger

logger

mark_vue_http

myapplication

nvbitfi

Architecture-level Fault Injection Tool for GPU Application Resilience Evaluation

onednn

oneAPI Deep Neural Network Library (oneDNN)

onnx-mlir

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

papers

pinfi

PIN-based Fault-Injector is a fault injector based on the Intel PIN tool. For more information, please refer to the following paper:

pygdbmi

A library to parse gdb mi output and interact with gdb subprocesses

simple-sample

sofia

SOFIA Framework

swifj

transient-fault-resiliency-using-selective-instruction-duplication

LLVM Implementation of Software Based Transient Fault Resiliency using Selective Instruction Duplication. EECS 573 Final Project

vue_lib

yolo-fastest

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

zcbx