Software company specializing in developer tools and tailored solutions for AI and Natural Language Processing
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L'organizzazione Explosion ha una presenza attiva su GitHub, con una vasta gamma di repository pubblici. I principali linguaggi utilizzati includono Python, Cython e JavaScript. Tra i progetti più noti ci sono spaCy, un robusto strumento per l'elaborazione del linguaggio naturale, e thinc, che offre un approccio innovativo al deep learning.
💫 Industrial-strength Natural Language Processing (NLP) in Python
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
👩🏫 Advanced NLP with spaCy: A free online course
💫 Models for the spaCy Natural Language Processing (NLP) library
🦆 Contextually-keyed word vectors
🪐 End-to-end NLP workflows from prototype to production
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
🦙 Integrating LLMs into structured NLP pipelines
📚 Process PDFs, Word documents and more with spaCy
🤖 A PyTorch library of curated Transformer models and their composable components
👑 spaCy building blocks and visualizers for Streamlit apps
💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
🦉 Modern high-performance serialization utilities for Python (JSON, MessagePack, Pickle)
🍣 A lightweight console printing and formatting toolkit
💥 Cython memory pool for RAII-style memory management
:boom: displaCy.js: An open-source NLP visualiser for the modern web
🌸 fastText + Bloom embeddings for compact, full-coverage vectors with spaCy
✨ Bootstrap annotation with zero- & few-shot learning via OpenAI GPT-3
🌓 Bringing pjreddie's DarkNet out of the shadows #yolo
💫 Jupyter notebooks for spaCy examples and tutorials
💫 REST microservices for various spaCy-related tasks
💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!
:boom: displaCy-ent.js: An open-source named entity visualiser for the modern web
Robust and Fast tokenizations alignment library for Rust and Python https://tamuhey.github.io/tokenizations/
:candy: Confection: the sweetest config system for Python
🧬 A JupyterLab extension for annotating data with Prodigy
Super lightweight function registries for your library
💙 Emoji handling and meta data for spaCy with custom extension attributes
🎡 Automated build repo for Python wheels and source packages
💫 Scripts, tools and resources for developing spaCy
📂 Additional lookup tables and data resources for spaCy
🕊️ Radically lightweight command-line interfaces
🧪 Cutting-edge experimental spaCy components and features
🍏 Make Thinc faster on macOS by calling into Apple's native Accelerate library
🦦 weasel: A small and easy workflow system
💥 Browser-based slides or PDFs of our talks and presentations
Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.
💥 Cython hash tables that assume keys are pre-hashed
pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation
💥 Use Hugging Face text and token classification pipelines directly in spaCy
☄️ Parallel and distributed training with spaCy and Ray
💥 Cython bindings for MurmurHash2
🌊 Machine learning dataset loaders for testing and example scripts
🤗 Push your spaCy pipelines to the Hugging Face Hub
💥 Explosion Assets
Generate a SQLite database from Wikipedia & Wikidata dumps.
A Prodigy plugin for PDF annotation
💫 A spaCy package for Yohei Tamura's Rust tokenizations library
spaCy entry points for Curated Transformers
spaCy extension for Visual Studio Code
🧬 A VS Code extension for annotating data with Prodigy
Train huggingface models on top of Prodigy annotations
💫 Runtime performance comparison of spaCy against other NLP libraries
Wrapper for the macOS signpost API
🌸 Train floret vectors
A slightly cleaned up version of the scripts & data for the CoNLL 2012 Coreference task.
🔎 A Prodigy plugin for evaluating spaCy pipelines
Lightweight piece tokenization library
📟 Logging utilities for spaCy
Select pixels in Prodigy via Facebook's Segment-Anything model.
🔮 GPU kernels for Thinc
A Prodigy pluging for ANN techniques
Audio transcription with OpenAI's whisper model in the loop.
🕸️ Legacy architectures and other registered spaCy v3.x functions for backwards-compatibility
Code for our presentation in Princeton DH 2023 April.
A Prodigy plugin for document search via LUNR
Nessuna descrizione fornita per questo repository.
Nessuna descrizione fornita per questo repository.
:octocat: GitHub settings
Loaders for various span labeling datasets
Nessuna descrizione fornita per questo repository.
Materials for the aiGrunn 2023 talk on spaCy Transformer pipelines
📒 Repository used to build Binder images for the interactive spaCy code examples
BLAS-like Library Instantiation Software Framework
Terraform definitions for self-hosted Ellf clusters
Nessuna descrizione fornita per questo repository.
Add-ons for Curated Transformers
Nginx container that allows for environmental variable use to set nginx configuration.
Explosion sviluppa strumenti per il trattamento del linguaggio naturale e soluzioni personalizzate per l'IA. I progetti principali, come spaCy e thinc, sono molto utilizzati nella comunità per le loro funzionalità avanzate.
Explosion utilizza diversi linguaggi di programmazione, tra cui Python, Cython, C++, C e JavaScript. Questi linguaggi sono impiegati nei suoi progetti per garantire prestazioni e compatibilità con altre librerie.
Sì, i repository di explosion sono pubblici su GitHub. Ciò consente agli sviluppatori e agli utenti di accedere ai loro progetti e contribuire, promuovendo la collaborazione nella comunità di sviluppo software.
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