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This page summarizes the projects mentioned and recommended in the original post on /r/vancouver
Deep Learning Machine Learning text-to-speech neural-networks Python

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  • TTS

    :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts) (by mozilla)

    • I'm trying to train high-quality models for https://github.com/mozilla/TTS and https://github.com/mozilla/DeepSpeech.

  • DeepSpeech

    DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

    • I'm trying to train high-quality models for https://github.com/mozilla/TTS and https://github.com/mozilla/DeepSpeech.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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