jskwak's Stars
matplotlib/mplfinance
Financial Markets Data Visualization using Matplotlib
spierre91/medium_code
knockdata/spark-highcharts
Support Highcharts in Apache Zeppelin
pycontribs/jenkinsapi
A Python API for accessing resources and configuring Hudson & Jenkins continuous-integration servers
mozilla-services/syncstorage-loadtest
Load Test for the Firefox Sync Storage Service
max-mapper/abstract-blob-store
A test suite and interface you can use to implement streaming file (blob) storage modules for various storage backends and platforms
portworx/torpedo
A test suite to qualify storage providers for stateful containers running in a cluster.
microsoft/TestAdapterForGoogleTest
Visual Studio extension that enables support for unit testing with Google Test in the IDE
microsoft/Reporting-Services-LoadTest
Reporting Services Load Test Project
microsoft/Windows-driver-samples
This repo contains driver samples prepared for use with Microsoft Visual Studio and the Windows Driver Kit (WDK). It contains both Universal Windows Driver and desktop-only driver samples.
pratyushanand/learn-bpf
microsoft/diskspd-for-linux
A disk io load-generator and benchmarking tool for Linux, based on the Windows tool diskspd.
microsoft/diskspd
DISKSPD is a storage load generator / performance test tool from the Windows/Windows Server and Cloud Server Infrastructure Engineering teams
microsoft/StorScore
A test framework to evaluate SSDs and HDDs
openzfsonwindows/ZFSin
OpenZFS on Windows port
cirosantilli/linux-kernel-module-cheat
The perfect emulation setup to study and develop the Linux kernel v5.4.3, kernel modules, QEMU, gem5 and x86_64, ARMv7 and ARMv8 userland and baremetal assembly, ANSI C, C++ and POSIX. GDB step debug and KGDB just work. Powered by Buildroot and crosstool-NG. Highly automated. Thoroughly documented. Automated tests. "Tested" in an Ubuntu 24.04 host.
MoatLab/FEMU
FEMU: Accurate, Scalable and Extensible NVMe SSD Emulator (FAST'18)
EthanZhu90/ZSL_GAN
Code for the paper CVPR‘18 "A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts"