Linking pages
- GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.) https://github.com/hangtwenty/dive-into-machine-learning 39 comments
- spaCy meets Transformers: Fine-tune BERT, XLNet and GPT-2 路 Explosion https://explosion.ai/blog/spacy-pytorch-transformers 11 comments
- GitHub - bilal2vec/L2: l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust https://github.com/bkkaggle/L2 4 comments
- thinc-apple-ops/README.md at master 路 explosion/thinc-apple-ops 路 GitHub https://github.com/explosion/thinc-apple-ops/blob/master/README.md 1 comment
- spaCy meets Transformers: Fine-tune BERT, XLNet and GPT-2 路 Explosion https://explosion.ai/blog/spacy-transformers 0 comments
- GitHub - ml-tooling/best-of-ml-python: 馃弳 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
- Supervised similarity: Learning symmetric relations from duplicate question data 路 Explosion https://explosion.ai/blog/supervised-similarity-siamese-cnn 0 comments
- Deep text-pair classification with Quora's 2017 question dataset 路 Explosion https://explosion.ai/blog/quora-deep-text-pair-classification 0 comments
- Explosion in 2017: Our Year in Review 路 Explosion https://explosion.ai/blog/year-in-review-2017 0 comments
Linked pages
- GitHub - psf/black: The uncompromising Python code formatter https://github.com/ambv/black 285 comments
- spaCy 路 Industrial-strength Natural Language Processing in Python https://spacy.io/ 29 comments
- Google Colab https://colab.research.google.com/#scrollTo=Nma_JWh-W-IF 25 comments
- Thinc 路 A refreshing functional take on deep learning https://thinc.ai/ 17 comments
- Prodigy 路 Prodigy 路 An annotation tool for AI, Machine Learning & NLP https://prodi.gy 13 comments
- GitHub - psf/black: The uncompromising Python code formatter https://github.com/psf/black 8 comments
- Introduction 路 Thinc 路 A refreshing functional take on deep learning https://thinc.ai/docs 0 comments
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