[R] LiBai: a large-scale open-source model training toolbox

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • bert

    TensorFlow code and pre-trained models for BERT

  • Found relevant code at https://github.com/google-research/bert + all code implementations here

  • text-to-text-transfer-transformer

    Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

  • Found relevant code at https://github.com/google-research/text-to-text-transfer-transformer + all code implementations here

  • 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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  • Swin-Transformer

    This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  • Found relevant code at https://github.com/microsoft/Swin-Transformer + all code implementations here

  • fairseq

    Discontinued Facebook AI Research Sequence-to-Sequence Toolkit written in Python. [Moved to: https://github.com/facebookresearch/fairseq] (by pytorch)

  • Found relevant code at https://github.com/pytorch/fairseq + all code implementations here

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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