Posts
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LibreLogin
Open-source, multiplatform, and highly customizable minecraft authentication plugin with outstanding features and API.
(formerly LibrePremium) is an open-source, multiplatform, and highly customizable authentication plugin with outstanding features and API.
Tags: #java • authentication • bungeecord
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wasmer-php
🐘🕸️ WebAssembly runtime for PHP
- Easy to use: The
wasmerAPI mimics the standard WebAssembly C API, - Fast:
wasmerexecutes the WebAssembly modules as fast as possible, close to native speed, - Safe: All calls to WebAssembly will be fast, but more importantly, completely safe and sandboxed.
Tags: #php • php-extension • rust
- Easy to use: The
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open-build-service
Build and distribute Linux packages from sources in an automatic, consistent and reproducible way #obs
The Open Build Service (OBS) is a generic system to build and distribute binary packages from sources in an automatic, consistent, and reproducible way. You can release packages as well as updates, add-ons, appliances, and entire distributions for a wide range of operating systems and hardware architectures. More information can be found on openbuildservice.org.
The OBS consists of a backend and a frontend. The backend implements all the core functionality (i.e. building packages). The frontend provides a web application and XML API for interacting with the backend. Additionally, there is a command line client (osc) for the API which is developed in a separate repository.
Tags: #ruby • opensuse • rpm
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serverspec
RSpec tests for your servers configured by CFEngine, Puppet, Chef, Ansible, Itamae or anything else even by hand
RSpec tests for your servers configured by Puppet, Chef or anything else
You can see the details of serverspec on serverspec.org.
Tags: #ruby
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MCEdit-Unified
Combined MCEdit & Pymclevel repository.
MCEdit-Unified is an updated fork of the original MCEdit by Codewarrior. The previous license still applies. MCEdit-Unified is an open-source, BSD-licensed world editor for the viral indie hit Minecraft. For downloads and update info, visit the official website at podshot.github.io/MCEdit-Unified. The rest of this file is intended for computer programmers, Linux/Mac users, and those who wish to run from source.
Tags: #python • minecraft • mcedit
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jorani
Leave and Overtime Management System
- Leave request approval workflow (1 validator).
- Overtime request approval workflow (1 validator).
- Leave balance report (filtered by department).
- Monthly presence report.
- Export to spreadsheet and reporting.
- Calendars of leaves (individual, team, collaborators, etc.).
- Describe your organization in a tree structure and attach employees to entities, define a supervisor per entity.
- Non working days (weekends and day offs) can be imported or defined on a contract.
- REST API (OAuth2) fully documented and examples with PHP clients.
- SSO Authentication (SAML, OpenLDAP, AD, etc.).
- Available in English, French, Spanish, Italian, Portuguese, German, Dutch, Russian, Ukrainian, Persian, Khmer, Vietnamese, Czech, Arabic and Turkish.
Tags: #php • leave-management • planning
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knife
A burp extension that add some useful function to Context Menu 添加一些右键菜单让burp用起来更顺畅
项目地址:https://github.com/bit4woo/knife
项目简介:knife是一个Burp Suite插件,主要目的是对Burp做一些小的改进,让使用更方便。就像用一把小刀对Burp进行小小的雕刻,故名“knife”。
项目作者:bit4woo 欢迎与我交流
视频教程:https://www.bilibili.com/video/bv1BC4y1s7nS
Tags: #java • burp-extensions • burpsuite-extender
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phashion
Ruby wrapper around pHash, the perceptual hash library for detecting duplicate multimedia files
Because of this complexity, it is possible the gem install will fail on your platform. Phashion has been tested on:
- Mac OSX 10.6
- Mac OSX 10.9
- Ubuntu 8.04
- Ubuntu 12.04
Please open a GitHub issue if you have installation problems.
Tags: #ruby • phash • image-analysis
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nuclear-js
Reactive Flux built with ImmutableJS data structures. Framework agnostic.
https://optimizely.github.io/nuclear-js/
Tags: #javascript • optimizely-environment-prod • optimizely-owner-cjs
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training
Reference implementations of MLPerf® training benchmarks
This is a repository of reference implementations for the MLPerf® training benchmarks. These implementations are valid as starting points for benchmark implementations but are not fully optimized and are not intended to be used for “real” performance measurements of software frameworks or hardware.
Please see the MLPerf Training Benchmark paper for a detailed description of the motivation and guiding principles behind the benchmark suite. If you use any part of this benchmark (e.g., reference implementations, submissions, etc.) in academic work, please cite the following:
@misc{mattson2019mlperf, title={MLPerf Training Benchmark}, author={Peter Mattson and Christine Cheng and Cody Coleman and Greg Diamos and Paulius Micikevicius and David Patterson and Hanlin Tang and Gu-Yeon Wei and Peter Bailis and Victor Bittorf and David Brooks and Dehao Chen and Debojyoti Dutta and Udit Gupta and Kim Hazelwood and Andrew Hock and Xinyuan Huang and Atsushi Ike and Bill Jia and Daniel Kang and David Kanter and Naveen Kumar and Jeffery Liao and Guokai Ma and Deepak Narayanan and Tayo Oguntebi and Gennady Pekhimenko and Lillian Pentecost and Vijay Janapa Reddi and Taylor Robie and Tom St. John and Tsuguchika Tabaru and Carole-Jean Wu and Lingjie Xu and Masafumi Yamazaki and Cliff Young and Matei Zaharia}, year={2019}, eprint={1910.01500}, archivePrefix={arXiv}, primaryClass={cs.LG} }These reference implementations are still very much “alpha” or “beta” quality. They could be improved in many ways. Please file issues or pull requests to help us improve quality.
Tags: #python • benchmark • machine-learning
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