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Awesome GitHub RepositoriesProcessor Pipeline Configurations
Specifies text and answer processors in a configuration file that the system automatically initializes and attaches to the dataset.
Distinct from Dataset Configuration Systems: Distinct from Dataset Configuration Systems: focuses on processor pipeline configuration rather than general dataset parameters.
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Awesome Processor Pipeline Configurations GitHub Repositories
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- facebookresearch/mmf
facebookresearch/mmf
5,635在 GitHub 上查看MMF is a modular framework for building, training, and evaluating vision-and-language models. It provides a configuration-driven experiment system where model, dataset, and training parameters are defined through composable YAML files, alongside a curated model zoo of pretrained checkpoints for state-of-the-art multimodal architectures. The framework includes a multimodal dataset loader that downloads, processes, and batches vision-and-language data, and a vision-language model trainer supporting distributed training, mixed precision, and checkpoint-based resumption. The framework distinguish
Specifies text and answer processors in a configuration file that the system automatically initializes and attaches to the dataset.
Pythoncaptioningdeep-learningdialog
