imbalanced-regression VS ludwig

Compare imbalanced-regression vs ludwig and see what are their differences.

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imbalanced-regression ludwig
1 3
757 10,827
- 0.8%
1.8 9.5
about 2 years ago 3 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.

imbalanced-regression

Posts with mentions or reviews of imbalanced-regression. We have used some of these posts to build our list of alternatives and similar projects.

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 imbalanced-regression and ludwig you can also consider the following projects:

autogluon - Fast and Accurate ML in 3 Lines of Code

nlp-recipes - Natural Language Processing Best Practices & Examples

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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

pneumonia_detection - Pneumonia Detection using machine learning - with PyTorch

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

healthsea - Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.

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

multi-domain-imbalance - [ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond

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

ai-deadlines - :alarm_clock: AI conference deadline countdowns

Python_Storage_Tracker - Py Storage Tracker is a cross-platform command line tool using Python to track storage and other system related information.