How can I make a better tokenizer?

This page summarizes the projects mentioned and recommended in the original post on /r/MLQuestions
Backpropagation Natural Language Processing Transformer

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  • Transformer-from-scratch

    Educational Transformer from scratch (no autograd), with forward and backprop.

    • GitHub repository here. I'm loading the texts in the "load_text_words()" function in "/src/model.py".

  • 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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