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Dec 21, 2021 · PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.
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sflippl/pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
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Jul 23, 2020 · Basic framework for training models with PyTorch. boiler-pytorch. Basic framework for training stuff in PyTorch. It's quite tailored to projects I've been working on lately, so it's meant for personal use.
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Feb 27, 2021 · The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. **The lightweight PyTorch wrapper for
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Jul 27, 2020 · Basic framework for model training and evaluation in PyTorch. - GitHub - addtt/boiler-pytorch: Basic framework for model training and evaluation in PyTorch.
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Jun 13, 2020 · I have been struggling with an issue regarding torch multiprocessing. Currently, I have a whole training pipeline made up of three classes: a Trainer which defines how training should be accomplished, and two model classes. The first is a base_model class which defines a lot of the boiler-plate functions (training loops, saving, loading, etc.) and the second is the …
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Jan 01, 2022 · Published: Sat 01 January 2022 By Smrati Kumar Katiyar. In Mobile Development.. tags: Flutter button In this tutorial we will be explaining how to use buttons in flutter for taking some action, this example is copied from official boiler plate code flutter generates while creating a new app, more examples will be added on this page later
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Lightning is designed with these principles in mind: Principle 1: Enable maximal flexibility. Principle 2: Abstract away unnecessary boilerplate, but make it accessible when needed. Principle 3: Systems should be self-contained (ie: optimizers, computation code, etc). Principle 4: Deep learning code should be organized into 4 distinct categories.
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weiji14/pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
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Jul 08, 2020 · NERSC PyTorch examples. This repository contains some PyTorch example models and training code with support for distributed training on NERSC systems. The layout of this package can also serve as a template for PyTorch projects and the provided BaseTrainer and train.py script can be used to reduce boiler plate.
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sflippl/pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
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Nov 07, 2020 · boiler-plate. This library aims at replacing boilerplate code that occur while training neural networks using PyTorch. Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
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