lit VS Rath

Compare lit vs Rath and see what are their differences.

lit

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface. (by PAIR-code)
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lit Rath
3 43
3,416 4,025
0.6% 1.1%
9.1 6.4
3 days ago about 2 months ago
TypeScript TypeScript
Apache License 2.0 GNU Affero General Public License v3.0
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.

lit

Posts with mentions or reviews of lit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-24.
  • How to create a broad/representative sample from millions of records?
    1 project | /r/LanguageTechnology | 6 Feb 2022
    I'd also suggest looking at your data sample, and how your model handles it, with some kind of exploratory analysis tool. Google's Language Interpretability Tool might work for your scenario. This can give you a lot of ideas about how to prepare the data better.
  • AWS - NLP newsletter November 2021
    2 projects | dev.to | 24 Nov 2021
    Visualize and understand NLP models with the Language Interpretability Tool The Language Interpretability Tool (LIT) is for researchers and practitioners looking to understand NLP model behavior through a visual, interactive, and extensible tool. Use LIT to ask and answer questions like: What kind of examples does my model perform poorly on? Why did my model make this prediction? Can it attribute it to adversarial behavior, or undesirable priors from the training set? Does my model behave consistently if I change things like textual style, verb tense, or pronoun gender? LIT contains many built-in capabilities but is also customizable, with the ability to add custom interpretability techniques, metrics calculations, counterfactual generators, visualizations, and more.
  • Are there any tools for seeing / understanding what a fine-tuned BERT model is looking at for a downstream task?
    2 projects | /r/MLQuestions | 19 Aug 2021
    Use LIT https://github.com/PAIR-code/lit

Rath

Posts with mentions or reviews of Rath. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-15.

What are some alternatives?

When comparing lit and Rath you can also consider the following projects:

scattertext - Beautiful visualizations of how language differs among document types.

superset - Apache Superset is a Data Visualization and Data Exploration Platform

bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

graphic-walker - An open source alternative to Tableau. Embeddable visual analytic

amazon-sagemaker-examples - Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

pygwalker - PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

PaLM-rlhf-pytorch - Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

lux - Automatically visualize your pandas dataframe via a single print! 📊 💡

starcoder - Home of StarCoder: fine-tuning & inference!

HumesGuillotine - Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.

neocities - Neocities.org - the web site. Yep, the backend is open source!

scikit-learn - scikit-learn: machine learning in Python