• $300 in Free Credit for Your Google Cloud Projects Icon
    $300 in Free Credit for Your Google Cloud Projects

    Build, test, and explore on Google Cloud with $300 in free credit. No hidden charges. No surprise bills.

    Launch your next project with $300 in free Google Cloud credit—no hidden charges. Test, build, and deploy without risk. Use your credit across the Google Cloud platform to find what works best for your needs. After your credits are used, continue building with free monthly usage products. Only pay when you're ready to scale. Sign up in minutes and start exploring.
    Start Free Trial
  • AI-powered service management for IT and enterprise teams Icon
    AI-powered service management for IT and enterprise teams

    Enterprise-grade ITSM, for every business

    Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
    Try it Free
  • 1
    textacy

    textacy

    NLP, before and after spaCy

    textacy is a Python library for performing a variety of natural language processing (NLP) tasks, built on the high-performance spaCy library. With the fundamentals, tokenization, part-of-speech tagging, dependency parsing, etc., delegated to another library, textacy focuses primarily on the tasks that come before and follow after.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    Ecco

    Ecco

    Explain, analyze, and visualize NLP language models

    Ecco is an interpretability tool for transformers that helps visualize and analyze how language models generate text, making model behavior more transparent.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    GT NLP Class

    GT NLP Class

    Course materials for Georgia Tech CS 4650 and 7650

    ...Students work through programming exercises and problem sets that build intuition for both classical algorithms (like HMMs and CRFs) and neural approaches (like word embeddings and sequence models). The materials emphasize theory grounded in practical experimentation, often via Python notebooks or scripts that visualize results and encourage ablation studies. Clear organization and self-contained examples make it possible to follow along outside the classroom, using the repo as a self-study resource. For learners and instructors alike, the course provides a coherent path from foundational linguistics to current techniques, with reproducible code that makes concepts concrete.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB