Neuropod: Uber ATG’s Open Source Deep Learning Inference Engine

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Uber Advanced Technologies Group (ATG) recently open-sourced Neuropod, a framework that provides a uniform interface to run deep learning models from multiple frameworks in C++ and Python. It helps researchers build models easily in a framework of their choice along with simplifying the production of these models.. Neuropod is currently supported by TensorFlow, PyTorch, TorchScript, and Keras.

With Neuropod, the problem related to incompatibilities during the use of multiple frameworks for development is solved. It works by wrapping available models in a neuropod package. It makes the frameworks look the same when a model is run, with out-of-the-box support for PyTorch, Tensorflow, Keras, and TorchScript. Using Neuropod, you can run any model from any supported language.

Open Source OmniParseBench · by Datalab · Apache 2.0 Benchmark any document parser on tables, math, forms and handwriting. Yes/no tests per page across text, table and layout families. Score vendor parsers on the Hugging Face dataset or your own PDFs with score and predict primitives. ★ Star on GitHub Multi-column, rotated text, degraded scans · tagged by script and language github.com/datalab-to/omni_parse_bench Fork it · Add your parser

Github: https://github.com/uber/neuropod

Tutorial: https://neuropod.ai/pyguide/

Website: https://neuropod.ai/

https://eng.uber.com/introducing-neuropod/
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