lit
Rath
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 |
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
-
How to create a broad/representative sample from millions of records?
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
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?
Use LIT https://github.com/PAIR-code/lit
Rath
- FLaNK Stack for 15 May 2023
-
Observable Plot: The JavaScript library for exploratory data visualization
Big fan of D3.js and now there is Observable Plot! I am building several data visualization software for exploratory data analysis:
RATH, auto exploratory data analysis: https://github.com/Kanaries/Rath
GraphicWalker, embeddable data exploration component: https://github.com/Kanaries/graphic-walker
They are using vega-lite for now. But there is a limit of building more fancy and customized visualizations. It seems Plot has a more flexible layer based visualization system that can support larger design space.
Is Plot stable enough now to migrate from vega-lite based system to Plot based? Are there any large milestone or roadmap of Plot in future?
- Show HN: RATH – Open-Source Copilot and Autopilot for Data Analysis
-
Business Intelligence, The Key To Company Success
By gaining knowledge of the Business Intelligence once the information is captured from all areas in the business, you can set strategies and define what are the strengths and weaknesses of the business.
-
How to send emails in Node.js (Detailed Steps)
I am also working on an Awesome Open Source project named: RATH. Check it out on GitHub!
-
Ask HN: What do you use for basic data analysis, visuals, and graphing?
I'm considering https://github.com/Kanaries/Rath, which seems to be an OSS version of Tableau. Has anyone used it for this type of thing?
-
Show HN: Turn Your Pandas Dataframe to a Tableau-Style UI for Visual Analysis
Ah, there’s a really nice profiler implemented in one of their other projects here (AGPLv3): https://github.com/Kanaries/Rath/tree/master/packages/rath-c...
There’s a lot of really nice features in this other tool, the author’s thought of everything: https://github.com/Kanaries/Rath
-
6 Ideas for building ChatGPT Chrome Extensions
Don't forget to check out my GitHub project:https://github.com/Kanaries/Rath We are also having a website for RATH now!
- Data Painter – A Different Way to Interact with Your Data
-
MCM/ICM 2023 is Here (Download historical MCM/ICM Problems)
RATH is an Open Source Automated Data Analysis and Visualization tool that can help you uncover insights and patterns in your data quickly and efficiently. Check out RATH Source Code on GitHub and Free RATH Playground.
What are some alternatives?
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