VizSeq
An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)
About
VizSeq is a Python toolkit for visual analysis on text generation tasks like machine translation, summarization, image captioning, speech translation and video description. It takes multi-modal sources, text references as well as text predictions as inputs, and analyzes them visually in Jupyter Notebook or a built-in Web App (the former has Fairseq integration). VizSeq also provides a collection of multi-process scorers as a normal Python package.
Open Source Health
- Stars
- 457
- Forks
- 56
- License
- MIT
- Last commit
- 26 days ago
Resources & Links
Related Categories
Vendor
Facebookresearch
Publisher of Fairseq
Quick Links
Open Source
More by Facebookresearch
Related Products
LibreTranslate
Free and Open Source Machine Translation API
Top category match
Deep Research
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine…
Shared categories
select.rs
A Rust library to extract useful data from HTML documents, suitable for web scraping.
Shared categories
Scrapely
A pure-python HTML screen-scraping library
Shared categories
Faster Than Requests
Faster requests on Python 3
Shared categories
