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9 stars written in Python
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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.

Python 156,173 31,983 Updated Feb 7, 2026

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Python 21,173 3,090 Updated Feb 4, 2026

A simple and efficient tool to parallelize Pandas operations on all available CPUs

Python 3,808 211 Updated Jul 9, 2024

Multi-angle c(q)uestion answering

Python 457 55 Updated Aug 22, 2022

Unified Learned Sparse Retrieval Framework

Python 68 7 Updated May 13, 2024

Easy-to-use text representations extraction library based on the Transformers library.

Python 32 4 Updated Oct 21, 2022

Code on IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems (WWW 2020)

Python 11 1 Updated Apr 18, 2021

Simple CNN is a library that can be used to train and infer CNN models by use of PyTorch and ONNX.

Python 10 2 Updated Sep 24, 2022
Python 4 2 Updated Feb 28, 2025