Linking pages
Linked pages
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- https://dl.acm.org/doi/pdf/10.1145/3442188.3445922 122 comments
- The Illustrated Word2vec – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-word2vec/ 58 comments
- Hugging Face – The AI community building the future. https://huggingface.co/ 57 comments
- spaCy · Industrial-strength Natural Language Processing in Python https://spacy.io/ 29 comments
- The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning) – Jay Alammar – Visualizing machine learning one concept at a time. https://jalammar.github.io/illustrated-bert/ 20 comments
- [1810.04805] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding https://arxiv.org/abs/1810.04805 18 comments
- GitHub - flairNLP/flair: A very simple framework for state-of-the-art Natural Language Processing (NLP) https://github.com/flairNLP/flair 0 comments
- [1802.08232] The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks https://arxiv.org/abs/1802.08232 0 comments
- Gensim: Topic modelling for humans https://radimrehurek.com/gensim/ 0 comments
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