[R] TorchScale: Transformers at Scale - Microsoft 2022 Shuming Ma et al - Improves modeling generality and capability, as well as training stability and efficiency.

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Computer Vision Machine Learning multimodal Natural Language Processing pretrained-language-model

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  • torchscale

    Foundation Architecture for (M)LLMs

  • xformers

    Hackable and optimized Transformers building blocks, supporting a composable construction.

    • I skimmed through the README and paper. What does this library have that that hasn't been included in xformers or fairscale?

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    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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  • fairscale

    PyTorch extensions for high performance and large scale training.

    • I skimmed through the README and paper. What does this library have that that hasn't been included in xformers or fairscale?

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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