Python Library for Model Interpretation/Explanations
Alternatives To Skater
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Tensorflow172,434327778 hours ago46October 23, 20192,292apache-2.0C++
An Open Source Machine Learning Framework for Everyone
Transformers87,738649117 hours ago91June 21, 2022617apache-2.0Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Pytorch64,3981467 hours ago23August 10, 202211,485otherC++
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Keras57,713330a day ago68May 13, 2022372apache-2.0Python
Deep Learning for humans
Cs Video Courses53,706
6 days ago14
List of Computer Science courses with video lectures.
25 days ago15gpl-3.0Python
Deepfakes Software For All
Tensorflow Examples42,312
5 months ago218otherJupyter Notebook
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
D2l Zh40,601
13 days ago45March 25, 202221apache-2.0Python
100 Days Of Ml Code40,344
13 days ago61mit
100 Days of ML Coding
14 days ago510gpl-3.0Python
DeepFaceLab is the leading software for creating deepfakes.
Alternatives To Skater
Select To Compare

Alternative Project Comparisons


Skater is a unified framework to enable Model Interpretation for all forms of model to help one build an Interpretable machine learning system often needed for real world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual prediction).

The project was started as a research idea to find ways to enable better interpretability(preferably human interpretability) to predictive "black boxes" both for researchers and practioners. The project is still in beta phase.



    Option 1: without rule lists and without deepinterpreter
    pip install -U skater

    Option 2: without rule lists and with deep-interpreter:
    1. Ubuntu: pip3 install --upgrade tensorflow (follow instructions at for details and best practices)
    2. sudo pip install keras
    3. pip install -U skater==1.1.2

    Option 3: For everything included
    1. conda install gxx_linux-64
    2. Ubuntu: pip3 install --upgrade tensorflow (follow instructions for
       details and best practices)
    3. sudo pip install keras
    4. sudo pip install -U --no-deps --force-reinstall --install-option="--rl=True" skater==1.1.2

To get the latest changes try cloning the repo and use the below mentioned commands to get started,

    1. conda install gxx_linux-64
    2. Ubuntu: pip3 install --upgrade tensorflow (follow instructions for
       details and best practices)
    3. sudo pip install keras
    4. git clone the repo
    5. sudo python install --ostype=linux-ubuntu --rl=True


  1. If repo is cloned: python skater/tests/
  2. If pip installed: python -c "from skater.tests.all_tests import run_tests; run_tests()"

Usage and Examples

See examples folder for usage examples.


This project welcomes contributions from the community. Before submitting a pull request, please review our contribution guide


Please consult the security guide for our responsible security vulnerability disclosure process


Copyright (c) 2018, 2023 Oracle and/or its affiliates.

Released under the Universal Permissive License v1.0 as shown at

Popular Machine Learning Projects
Popular Deep Learning Projects
Popular Machine Learning Categories
Related Searches

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Machine Learning
Deep Learning
Data Science
Deep Neural Networks
Lstm Neural Networks
Predictive Modeling