facet
wordlescraper
Our great sponsors
| facet | wordlescraper | |
|---|---|---|
| 5 | 4 | |
| 471 | 0 | |
| - | - | |
| 5.6 | 0.0 | |
| 10 months ago | 9 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
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.
facet
-
/r/technology top posts: Mar 1, 2021
FACET is an open source library for human-explainable AI. It combines sophisticated model inspection and model-based simulation to enable better explanations of your supervised machine learning models.\ (0 comments)
- FACET is an open source library for human-explainable AI. It combines sophisticated model inspection and model-based simulation to enable better explanations of your supervised machine learning models.
- Human-Explainable AI
- Facet: ML model inspection and model-based simulation for better explanations
wordlescraper
- Daily Wordle #421 - Sunday, 14 Aug. 2022
- Only lost once (HOMER) but my 99% just turned back into 100% after hitting 200 played. Anyone else?
- 200 up this morning
-
Show & Tell - Ever wonder how your wordle score compares to others or why certain words are harder to guess? Check out my project (with Data Science predictive model for a given Word).
I'm open to feedback on any part of this project, including the Data Science part see Jupyter Notebook here.
What are some alternatives?
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
transient_rotordynamic - transient dynamics of elastic rotors in journal bearings with Julia and Python
Basic-Mathematics-for-Machine-Learning - The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
shapash - 🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
cracking-the-data-science-interview - A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
transformers-interpret - Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).