VizSeq
An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)
Translation ManagementOpen Source Developer ToolsOpen Source
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
- 29 days ago
Python
Alternatives to VizSeq
- LibreTranslateby LibreTranslateFree and Open Source Machine Translation API
Deep Researchby David ZhangAn 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…- select.rsby Utkarsh KukretiA Rust library to extract useful data from HTML documents, suitable for web scraping.
Scrapelyby ScrapyA pure-python HTML screen-scraping library- Faster Than Requestsby Juan CarlosFaster requests on Python 3
Resources & Links
Related Categories
Using VizSeq?
Track its cost next to the rest of your stack and get a reminder before it renews.
Add to my stackVendor
Facebookresearch
Publisher of Fairseq
