A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

The definitive list that answers "I want to do X in Python, which tool should I use?"

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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Paraphrases generator based on RAVE.

An open source framework for seq2seq models in PyTorch.

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.