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nonenone12135's Projects

afl-cov icon afl-cov

Produce code coverage results with gcov from afl-fuzz test cases

afl-fast icon afl-fast

clone from https://github.com/mboehme/aflfast

afl-rb icon afl-rb

FairFuzz: AFL extension targeting rare branches

afl-utils icon afl-utils

Utilities for automated crash sample processing/analysis, easy afl-fuzz job management and corpus optimization

aflgo icon aflgo

Directed Greybox Fuzzing with AFL

angora icon angora

Angora is a mutation-based fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without symbolic execution.

bento4 icon bento4

Full-featured MP4 format and MPEG DASH library and tools

binutils icon binutils

GNU Binutils ported to support DARPA Cyber Grand Challenge

binutils-gdb icon binutils-gdb

Unofficial mirror of sourceware binutils-gdb repository. Updated daily.

bloaty icon bloaty

Bloaty McBloatface: a size profiler for binaries

bullet3 icon bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

cmake icon cmake

Mirror of CMake upstream repository

dcgan-tensorflow icon dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deepctr icon deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

ecofuzz icon ecofuzz

EcoFuzz-An adaptive energy-saving greybox fuzzer

exiv2 icon exiv2

Image metadata library and tools

file icon file

Read-only mirror of file CVS repository, updated every half hour. NOTE: do not make pull requests here, nor comment any commits, submit them usual way to bug tracker or to the mailing list. Maintainer(s) are not tracking this git mirror.

firmware-mod-kit-osx icon firmware-mod-kit-osx

Firmware Modification Kit forked from https://code.google.com/p/firmware-mod-kit/ modded for OSX

gc icon gc

Simple, zero-dependency garbage collection for C

geatpy icon geatpy

Evolutionary algorithm toolbox and framework with high performance for Python

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