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The intrusive "Ad blocker are not allowed on YouTube" message is annoying. This open-source project aims to address this issue by providing a solution to bypass YouTube's ad blocker detection

  • tampermonkey
  • tampermonkey-userscript
  • adblock
  • youtube

Countly is a privacy-first, AI-powered analytics and engagement platform for understanding and optimizing customer journeys across digital applications, from desktop and mobile to IoT and connected environments.

  • web-analytics
  • dashboard
  • mobile-analytics
  • analytics

Markdown parser, done right. Commonmark support, extensions, syntax plugins, high speed - all in one. Gulp and metalsmith plugins available. Used by Facebook, Docusaurus and many others! Use https://github.com/breakdance/breakdance for HTML-to-markdown conversion. Use https://github.com/jonschlinkert/markdown-toc to generate a table of contents.

Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.

  • open-source
  • crypto-trading-bots
  • crypto-trading-strategies
  • crypto-trading

Translated😍FeHelper -- Web Front-end Assistant (Awesome! Chrome & Firefox & MS-Edge Extension, All in one Toolbox!)

  • fehelper
  • json
  • qrcode-generator
  • qrcode-decoder

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

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.