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Awesome GitHub RepositoriesModular Data Processor Pipelines
Configurable chains of reusable processors that transform raw data samples into model-ready tensors through a shared interface.
Distinct from Pipeline Processors: Distinct from Pipeline Processors: focuses on data transformation for ML models rather than CLI command data flow.
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Awesome Modular Data Processor Pipelines GitHub Repositories
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- facebookresearch/mmf
facebookresearch/mmf
5,635Voir sur GitHubMMF 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
Transforms raw data samples into model-ready tensors through a configurable chain of reusable processors.
Pythoncaptioningdeep-learningdialog
