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  # Description
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- `google/velo` is a learned optimizer meta-trained on thousands of diverse machine learning tasks. It corresponds to the VeLO (Versatile Learned Optimizer) from [VeLO: Training Versatile Learned Optimizers by Scaling Up](https://arxiv.org/abs/2211.09760). VeLO is a small neural network that ingests gradients and outputs parameter updates, requiring no hyperparameter tuning and automatically adapting to the specifics of the problem being optimized.
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  ### Learned optimizer meta training and architectural details
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  | **Field** | **Value** |
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  # Official Resources
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  - **Paper**: [VeLO: Training Versatile Learned Optimizers by Scaling Up](https://arxiv.org/abs/2211.09760)
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- - **Code Repository**: [Google Learned Optimization](https://github.com/google/learned_optimization/tree/main/learned_optimization/research/general_lopt)
 
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  # Important Notes
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  # Description
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+ `VeLO` is a learned optimizer meta-trained on thousands of diverse machine learning tasks. It corresponds to the VeLO (Versatile Learned Optimizer) from [VeLO: Training Versatile Learned Optimizers by Scaling Up](https://arxiv.org/abs/2211.09760).
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  ### Learned optimizer meta training and architectural details
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  | **Field** | **Value** |
 
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  # Official Resources
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  - **Paper**: [VeLO: Training Versatile Learned Optimizers by Scaling Up](https://arxiv.org/abs/2211.09760)
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+ - **Adapted from Repository**: [Google Learned Optimization](https://github.com/google/learned_optimization/tree/main/learned_optimization/research/general_lopt)
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+ - **Available in PyLO** [PyLO] (https://github.com/Belilovsky-Lab/pylo)
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  # Important Notes
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