nlp-recipes VS ludwig

Compare nlp-recipes vs ludwig and see what are their differences.

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nlp-recipes ludwig
5 3
6,020 11,320
- 0.6%
0.0 6.1
over 2 years ago 13 days ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

nlp-recipes

Posts with mentions or reviews of nlp-recipes. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-03.

ludwig

Posts with mentions or reviews of ludwig. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-07.
  • Show HN: Toolkit for LLM Fine-Tuning, Ablating and Testing
    2 projects | news.ycombinator.com | 7 Apr 2024
    This is a great project, little bit similar to https://github.com/ludwig-ai/ludwig, but it includes testing capabilities and ablation.

    questions regarding the LLM testing aspect: How extensive is the test coverage for LLM use cases, and what is the current state of this project area? Do you offer any guarantees, or is it considered an open-ended problem?

    Would love to see more progress toward this area!

  • Python projects with best practices on Github?
    23 projects | /r/Python | 14 Feb 2023
    Two random examples I found from 30 seconds of googling: Here’s Netflix using it in their crisis management tool, and here’s Uber using it in their deep learning framework.
  • Most Frequent 600 Coding Questions on LeetCode
    2 projects | /r/cscareerquestions | 26 Oct 2021
    They list themselves all over the internet as an "open source contributor" to Uber, which as far I can tell is based entirely on... reporting that there was an issue with a favicon. To me, it seems like they'll be cheating anybody who employs them based on this, ahem, "experience". And that feels like the tip of the iceberg.

What are some alternatives?

When comparing nlp-recipes and ludwig you can also consider the following projects:

nlp_course - YSDA course in Natural Language Processing

ai-deadlines - :alarm_clock: AI conference deadline countdowns

OpenPrompt - An Open-Source Framework for Prompt-Learning.

Robo-Semantic-Segmentation - Just a simple semantic segmentation library that I developed to speed up the image segmentation pipeline

ccg2lambda - Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.

data-structures-and-algorithms - Resources that I used to crack some big tech & startups interviews

deepsegment - A sentence segmenter that actually works!

clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

Parrot_Paraphraser - A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.

forte - Forte is a flexible and powerful ML workflow builder. This is part of the CASL project: http://casl-project.ai/

aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Nutrient - The #1 PDF SDK Library
Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
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Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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