Open Source PHP Software

yxorP is a plug-and-play, flat-file application that does not need Composer, PHP CURL, or databases; these are all optional additions that are fully supported. yxorP is intended to act as a proxy that can edit or update the content of multiple websites using a PHAR (PHP archive) binary version of Guzzle, and managed via a user-friendly Cockpit backend (GUI). The incoming request hostname is used to fetch site-specific requirements from the backend, the target website is then retrieved and modified accordingly. Additionally, the website content can be optionally spun using the article spinning engine that is already embedded into the application. After the website has been modified the result is then stored for a predefined time inside a custom-built, flat-file cache system architectured to be 500x faster than memory-based cache systems such as Memcache and Redis. This is accomplished by bypassing the serialisation and deserialization processes, which resulted a significantly faster

Golang-based distributed web crawler management platform, supporting various languages including Python, NodeJS, Go, Java, PHP and various web crawler frameworks including Scrapy, Puppeteer, Selenium. Please use docker-compose to one-click to start up. By doing so, you don't even have to configure MongoDB database. The frontend app interacts with the master node, which communicates with other components such as MongoDB, SeaweedFS and worker nodes. Master node and worker nodes communicate with each other via gRPC (a RPC framework). Tasks are scheduled by the task scheduler module in the master node, and received by the task handler module in worker nodes, which executes these tasks in task runners. Task runners are actually processes running spider or crawler programs, and can also send data through gRPC (integrated in SDK) to other data sources, e.g. MongoDB.

Naam Tamilar RTMP Server This project updated as open source for future use of Naam Tamilar Political Party. To contribute to the party and in some case if there is any possibilities if i cannot support them for long term. I thought of sharing this source code so in future it may be helpful for the community and party in which other software developers can help them to upgrade. This source is forked from - https://github.com/arut/nginx-rtmp-module and modified with multiple broadcast option. Stream Sources will be able to restreamed to RTMP Player, Youtube API, Facebook API, Twitch and any other plaftforms that supports streaming with API and stream key. All these can be published simultaneously at the same time. ForFirst UAT - User Acceptance Test has been conducted @ Pollachi Veerathamilatchi Sengodi Nenaivendal @ Sandaipettai Thidal, Pollachi on 19 August 2017 #3146 Viewed Simultaneously Streamed with 16 GB Ram, 500 GB SSD, Ubuntu 16.04 LTS Server with NTK RTMP Server

This is implementation of CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model. CommitBERT is accepted in ACL workshop : NLP4Prog. Have you ever hesitated to write a commit message? Now get a commit message from Artificial Intelligence! CodeBERT: A Pre-Trained Model for Programming and Natural Languages introduces a pre-trained model in a combination of Program Language and Natural Language(PL-NL). It also introduces the problem of converting code into natural language (Code Documentation Generation). We can use CodeBERT to create a model that generates a commit message when code is added. However, most code changes are not made only by add of the code, and some parts of the code are deleted. We plan to slowly conquer languages that are not currently supported. To run this project, you need a flask-based inference server (GPU) and a client (commit module). If you don't have a GPU, don't worry, you can use it through Google Colab.