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TranslatedBased on Dineshkarthik's project. Cross-platform, supports viewing download progress on the web, supports issuing download commands via bot, supports downloading from private groups that have already been joined even when downloading of their resources is restricted. telegram media download,Download media files from a telegram conversation/chat/channel up to 2GiB per file

  • media-downloader
  • flask
  • cross-platform
  • downloader

FreeSWITCH is a Software Defined Telecom Stack enabling the digital transformation from proprietary telecom switches to a versatile software implementation that runs on any commodity hardware. From a Raspberry PI to a multi-core server, FreeSWITCH can unlock the telecommunications potential of any device.

  • freeswitch
  • signalwire
  • open-source
  • source-code

Versatile and extensible page transition library for server-rendered websites 🎉

  • page-transitions
  • animation
  • javascript
  • router

Kimai is the #1 open-source time-tracking application. From freelancers to companies and organisations - everyone can manage timesheets, generate reports, create invoices and so much more... Web-based multi-user application, available as On-Premise or SaaS version: https://www.kimai.org

  • timetracker
  • timetracking
  • doctrine
  • twig

:school_satchel: :rocket: :tada: A list of interview questions. This repository is everything you need to prepare for your technical interview.

OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi-Master), supports SQL, ACID Transactions, Full-Text indexing and Reactive Queries.

Browser-based ground station suite for celestial body, mission and satellite tracking, SDR reception, hardware control, and telemetry decoding

  • antenna
  • fft
  • python
  • radio

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.