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advancedtomato

AdvancedTomato firmware repository (Tomato by Shibby fork)

advancedtomato-gui

This is GUI only version of repository (www directory)

afraid-autologin

Automatically login to FreeDNS.Afraid.org to avoid termination due to dormant account

amc-pdf

Generate PDFs of AMC 8/10/12, AIME, and USA(J)MO exams

bolt

Binary Optimization and Layout Tool - A linux command-line utility used for optimizing performance of binaries

ceph

Ceph is a distributed object, block, and file storage platform

ceph-ansible

Ansible playbooks to deploy Ceph, the distributed filesystem.

certbot

Certbot, previously the Let's Encrypt Client, is EFF's tool to obtain certs from Let's Encrypt, and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.

coreos-baremetal

CoreOS+baremetal, libvirt and baremetal guides, config service

eglibc-clone

eglibc clone

glibc

Glibc for x86

isa-l

kinetic-cpp-client

kinetic-protocol

kinetic-py

Kinetic Python Library

kraken

P2P Docker registry capable of distributing TBs of data in seconds

kubernetes

Production-Grade Container Scheduling and Management

leveldb

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

linux

Mirror of Linus Torvald's Kernel Tree

machinesetuptool

Machine Setup Tool for BSP configuration

meltdown

This repository contains several applications, demonstrating the Meltdown bug.

models

Models built with TensorFlow

protobuf

Protocol Buffers - Google's data interchange format

protobuf-c

Protocol Buffers implementation in C

pylive555

Automatically exported from code.google.com/p/pylive555

revanc

Reverse Engineering Page Table Caches in Your Processor

rocksdb

A library that provides an embeddable, persistent key-value store for fast storage.

rook

File, Block, and Object Storage Services for your Cloud-Native Environment

slack-dump

Export History For Private Groups From Slack

tensorflow

Computation using data flow graphs for scalable machine learning