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Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q

TranslatedHTML5 JS audio recording in mp3, wav, ogg, webm, amr, g711a, g711u formats. Supports PC and some Web browsers on Android and iOS, Hybrid Apps (Android and iOS App source code provided), and WeChat. Provides ASR speech recognition (speech to text), an H5 voice call chat example, and DTMF encoding and decoding

  • recorder
  • record
  • javascript
  • html5

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.

TranslatedWith the rapid growth of the FCC Chinese community and the rise of more members, this project has been upgraded from a personal project to a team project. For details, please go to: