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Linux Insides ⭐ 29,075

A little bit about a linux kernel

Linux Kernel Module Cheat ⭐ 3,728

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 20.04 host.完美的仿真设置，可用于研究和开发Linux内核v5.4.3，内核模块，QEMU，gem5和 C，C ++和POSIX。 GDB步骤调试和KGDB可以正常工作。由Buildroot和crosstool-NG支持。高度自动化。彻底记

Throttled ⭐ 2,531

Workaround for Intel throttling issues in Linux.

Awesome Game Security ⭐ 2,140

awesome game security [Welcome to PR]

Fibratus ⭐ 2,035

A modern tool for Windows kernel exploration and tracing with a focus on security

Gpflow ⭐ 1,783

Gaussian processes in TensorFlow

Longformer ⭐ 1,672

Longformer: The Long-Document Transformer

Sparkmagic ⭐ 1,272

Jupyter magics and kernels for working with remote Spark clusters

Vscode Jupyter ⭐ 1,169

VS Code Jupyter extension

Vmlinux To Elf ⭐ 971

A tool to recover a fully analyzable .ELF from a raw kernel, through extracting the kernel symbol table (kallsyms)

Vim Ipython ⭐ 959

A two-way integration between Vim and IPython 0.11+

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

Graph2vec ⭐ 791

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

Oneapi Samples ⭐ 758

Samples for Intel® oneAPI Toolkits

Like Dbg ⭐ 713

Fully dockerized Linux kernel debugging environment

Pyscript ⭐ 707

Pyscript adds rich Python scripting to HASS

A Docker-type runtime, written in 100% Python

Kpconv Pytorch ⭐ 681

Kernel Point Convolution implemented in PyTorch

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

Ipykernel ⭐ 598

IPython Kernel for Jupyter

Kernelpop ⭐ 594

kernel privilege escalation enumeration and exploitation framework

Swift Jupyter ⭐ 591

A Practically Applicable Performance Analyzer for Real Product Development

Nb_conda_kernels ⭐ 546

Package for managing conda environment-based kernels inside of Jupyter

A scikit-learn compatible library for graph kernels

Convlstm_pytorch ⭐ 518

Implementation of Convolutional LSTM in PyTorch.

Kernel Density Estimation in Python

Jupyter C Kernel ⭐ 514

Minimal Jupyter C kernel

W1thermsensor ⭐ 485

A Python package and CLI tool to work with w1 temperature sensors like DS1822, DS18S20 & DS18B20 on the Raspberry Pi, Beagle Bone and other devices.

0xtools ⭐ 484

0x.Tools: Always-on Profiling for Production Systems

Ansible Jupyter Kernel ⭐ 477

Jupyter Notebook Kernel for running Ansible Tasks and Playbooks

Carnets ⭐ 476

Carnets is a stand-alone Jupyter notebook server and client. Edit your notebooks on the go, even where there is no network.

Use the IPython notebook as an interactive Markdown editor

Module for statistical learning, with a particular emphasis on time-dependent modelling

Vscode Linux Kernel ⭐ 449

Visual Studio Code project/compile_commands.json generator for Linux kernel sources and out-of-tree modules

Autolocalprivilegeescalation ⭐ 428

An automated script that download potential exploit for linux kernel from exploitdb, and compile them automatically

Kernel Point Convolutions

Xeus Python ⭐ 402

Jupyter kernel for the Python programming language

A py.test plugin to validate Jupyter notebooks

Ucore_os_docs ⭐ 392

ucore os lab guide

Kernels ⭐ 386

This is a set of simple programs that can be used to explore the features of a parallel platform.

Fft Conv Pytorch ⭐ 383

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

Ev3dev Lang Python ⭐ 382

Pure python bindings for ev3dev

Nanobench ⭐ 353

A tool for running small microbenchmarks on recent Intel and AMD x86 CPUs.

A Python interface module to the SAS System. It works with Linux, Windows, and Mainframe SAS as well as with SAS in Viya.

Dynamic Convolution Pytorch ⭐ 352

Pytorch!!!Pytorch!!!Pytorch!!! Dynamic Convolution: Attention over Convolution Kernels (CVPR-2020)

Kconfiglib ⭐ 348

A flexible Python 2/3 Kconfig implementation and library

Returnn ⭐ 347

The RWTH extensible training framework for universal recurrent neural networks

The DrK Attack - Proof of concept

Wattmangtk ⭐ 335

A Wattman-like GTK3+ GUI

A GPU performance profiling tool for PyTorch models

Nvim Ipy ⭐ 328

IPython/Jupyter plugin for Neovim

Metakernel ⭐ 323

Jupyter/IPython Kernel Tools

Erlemar.github.io ⭐ 321

Data science portfolio

Patchman ⭐ 318

Patchman is a Linux Patch Status Monitoring System

Repository to train/learn memory corruption on the ARM platform.

Sars_tutorial ⭐ 308

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

Pytorch Custom Cuda Tutorial ⭐ 303

Tutorial for building a custom CUDA function for Pytorch

Droidimg ⭐ 302

Android/Linux vmlinux loader

3D Shape Representation with Local Deep Implicit Functions.

Ctrnet Tool ⭐ 285

This's the tool for CTR, including FM, FFM, NFFM and so on.

Unicorefuzz ⭐ 283

Fuzzing the Kernel Using Unicornafl and AFL++

Fuku Ml ⭐ 278

Simple machine learning library / 簡單易用的機器學習套件

An easy way to virtualize the running system

Kernelgan ⭐ 265

qemu-user-static (qus) and containers, non-invasive minimal working setups

Open Source Architecture Code Analyzer

SoS workflow system for daily data analysis

Meanshift_py ⭐ 254

Simple implementation of mean shift clustering in python

Calysto_scheme ⭐ 254

A Scheme kernel for Jupyter that can use Python libraries

Patchwork ⭐ 249

Patchwork is a web-based patch tracking system designed to facilitate the contribution and management of contributions to an open-source project.

Python Uinput ⭐ 248

Pythonic API to Linux uinput module

CuPy fused PyTorch neural networks ops

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

Ida_ipython ⭐ 233

An IDA Pro Plugin for embedding an IPython Kernel

Extract Dtb ⭐ 227

Extract device tree blobs (dtb) from kernel images

Jupyter_console ⭐ 226

Jupyter Terminal Console

Libgpiod ⭐ 225

This is a mirror of the original repository over at kernel.org. This github page is for discussions and issue reporting only. PRs can be discussed here but the patches need to go through the linux-gpio mailing list.

Keras Gp ⭐ 219

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

"Zero-Shot" Super-Resolution using Deep Internal Learning

Stata_kernel ⭐ 209

A Jupyter kernel for Stata. Works with Windows, macOS, and Linux.

Gaussian process modelling in Python

Burst Denoising ⭐ 204

Ghidra_kernelcache ⭐ 202

a Ghidra framework for iOS kernelcache reverse engineering

Keras Multi Head ⭐ 196

A wrapper layer for stacking layers horizontally

Rkflashkit ⭐ 195

rkflashkit is an open source toolkit for flashing Linux kernel images to rockchip rk3066/rk3188/rk3288 etc. based devices. It's programmed with python and gtk2.

Curated Code Cad ⭐ 192

A list of the various code-cad projects out there.

Selfdeblur ⭐ 187

Neural Blind Deconvolution Using Deep Priors (CVPR 2020)

Svm_mnist_digit_classification ⭐ 185

MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.

Slicerjupyter ⭐ 179

Extension for 3D Slicer that allows the application to be used from Jupyter notebook

Regularized kernel canonical correlation analysis in Python

Nngeometry ⭐ 174

{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch

Sandblaster ⭐ 172

Reversing the Apple sandbox

Pyinotify ⭐ 171

An efficient and elegant inotify (Linux filesystem activity monitor) library for Python. Python 2 and 3 compatible.

Basic soft-margin kernel SVM implementation in Python

Kdmp Parser ⭐ 166

A Windows kernel dump C++ parser library with Python 3 bindings.

Gustave ⭐ 164

GUSTAVE is a fuzzing platform for embedded OS kernels. It is based on QEMU and AFL (and all of its forkserver siblings). It allows to fuzz OS kernels like simple applications.

FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.

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