facet VS imodels

Compare facet vs imodels and see what are their differences.

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facet imodels
5 7
471 1,274
- -
5.6 8.6
9 months ago 14 days ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 MIT License
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.

facet

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

We haven't tracked posts mentioning facet yet.
Tracking mentions began in Dec 2020.

imodels

Posts with mentions or reviews of imodels. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-31.

What are some alternatives?

When comparing facet and imodels you can also consider the following projects:

pycaret - An open-source, low-code machine learning library in Python

interpret - Fit interpretable models. Explain blackbox machine learning.

shap - A game theoretic approach to explain the output of any machine learning model.

docarray - Represent, send, store and search multimodal data

linear-tree - A python library to build Model Trees with Linear Models at the leaves.

Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

dopamine - Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

intro-to-python - [READ-ONLY MIRROR] An intro to Python & programming for wanna-be data scientists

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

ANN-decompiler - "AI" demystified: a decompiler

nn - 🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

ProSelfLC-AT - noisy labels; missing labels; semi-supervised learning; entropy; uncertainty; robustness and generalisation.