Schedule-Free Learning – A New Way to Train

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • schedule_free

    Schedule-Free Optimization in PyTorch

  • transformers

    🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  • * Superconvergence + LR range finder + Fast AI's Ranger21 optimizer was the goto optimizer for CNNs, and worked fabulously well, but on transformers, the learning rate range finder sadi 1e-3 was the best, whilst 1e-5 was better. However, the 1 cycle learning rate stuck. https://github.com/huggingface/transformers/issues/16013

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • cifar10-airbench

    94% on CIFAR-10 in 3.29 seconds 💨 https://arxiv.org/abs/2404.00498

  • hey dont forget about david me and keller (he is currently the champ and has good pareto configs for not just 94 but also 95 and 96 % : https://github.com/KellerJordan/cifar10-airbench)

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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