awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
facebookresearch avatar

facebookresearch/vizseq

0
View on GitHub↗
452 stars·55 forks·Python·MIT·6 viewsarxiv.org/abs/1909.05424↗

Vizseq

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…

Features

  • Natural Language Processing - Analysis toolkit for natural language generation tasks.
  • Evaluation - Listed in the “Evaluation” section of the Awesome Nlg awesome list.

Star history

Star history chart for facebookresearch/vizseqStar history chart for facebookresearch/vizseq

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI

Open-source alternatives to Vizseq

Similar open-source projects, ranked by how many features they share with Vizseq.
  • 2shou/textgrocery2shou avatar

    2shou/TextGrocery

    683View on GitHub↗

    A simple short-text classification tool based on LibLinear

    C++
    View on GitHub↗683
  • 7compass/sentimental7compass avatar

    7compass/sentimental

    465View on GitHub↗

    Simple sentiment analysis with Ruby

    Ruby
    View on GitHub↗465
  • a2800276/portera2800276 avatar

    a2800276/porter

    13View on GitHub↗

    porter stemmer

    Go
    View on GitHub↗13
  • 1eez/1039761eez avatar

    1eez/103976

    1,034View on GitHub↗

    103976个英语单词库(sql版,csv版,Excel版)包含英文单词,中文翻译,单词的词性及多种词义,执行SQL语句就可以生成表,支持SQL Server,MySQL等多种数据库

    PLpgSQL
    View on GitHub↗1,034
See all 30 alternatives to Vizseq→

Frequently asked questions

What does facebookresearch/vizseq do?

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…

What are the main features of facebookresearch/vizseq?

The main features of facebookresearch/vizseq are: Natural Language Processing, Evaluation.

What are some open-source alternatives to facebookresearch/vizseq?

Open-source alternatives to facebookresearch/vizseq include: 2shou/textgrocery — A simple short-text classification tool based on LibLinear. 7compass/sentimental — Simple sentiment analysis with Ruby. a2800276/porter — porter stemmer. abadojack/whatlanggo — Natural language detection library for Go. abitdodgy/gibran — Gibran is an Elixir natural language processor, and a port of WordsCounted. 1eez/103976 — 103976个英语单词库(sql版,csv版,Excel版)包含英文单词,中文翻译,单词的词性及多种词义,执行SQL语句就可以生成表,支持SQL Server,MySQL等多种数据库.