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- 💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
- 🌊 Machine learning dataset loaders for testing and example scripts
- 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
- 💥 Cython hash tables that assume keys are pre-hashed
- 💫 Industrial-strength Natural Language Processing (NLP) in Python
- 💥 Cython bindings for MurmurHash2
- 🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
- 🕊️ Radically lightweight command-line interfaces
- 📂 Additional lookup tables and data resources for spaCy
- 💫 Models for the spaCy Natural Language Processing (NLP) library
- 🌸 fastText + Bloom embeddings for compact, full-coverage vectors with spaCy
- 🦆 Contextually-keyed word vectors
- 📚 Process PDFs, Word documents and more with spaCy
- 👩🏫 Advanced NLP with spaCy: A free online course
- 🦙 Integrating LLMs into structured NLP pipelines
- 🪐 End-to-end NLP workflows from prototype to production
- 💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy