Stars
🤗 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.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Find dates inside text using Python and get back datetime objects
📐 Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Show your latest blog posts from any sources or StackOverflow activity or Youtube Videos on your GitHub profile/project readme automatically using the RSS feed
A simple and efficient tool to parallelize Pandas operations on all available CPUs
Unified Learned Sparse Retrieval Framework
pytrec_eval is an Information Retrieval evaluation tool for Python, based on the popular trec_eval.
Automatically add and move Issues/Pull Requests on a Project board
Easy-to-use text representations extraction library based on the Transformers library.
Simple CNN is a library that can be used to train and infer CNN models by use of PyTorch and ONNX.
crowdsourced judgement data for shallow pooling for sparse labels paper
Code on IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems (WWW 2020)
A tidy and complete archive of metadata for papers on arxiv.org, 1993-2019