Top 14 interpretable-machine-learning Open-Source Projects

• interpret

  6 5,988 9.7 C++

  Fit interpretable models. Explain blackbox machine learning.

  

• DALEX

  2 1,318 5.5 Python

  moDel Agnostic Language for Exploration and eXplanation

  

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• DiCE

  2 1,267 8.2 Python

  Generate Diverse Counterfactual Explanations for any machine learning model.

  

• pyGAM

  2 838 2.6 Python

  [HELP REQUESTED] Generalized Additive Models in Python

• OmniXAI

  1 805 5.2 Jupyter Notebook

  OmniXAI: A Library for eXplainable AI

  

• ETSformer

  1 224 0.0 Python

  PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

  

• TalkToModel

  1 102 2.9 Python

  TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• Machine-Learning

  2 86 3.4 Python

  Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generative AI. (by VincentGranville)

• adversarial-reinforcement-learning

  15 75 6.1

  Reading list for adversarial perspective and robustness in deep reinforcement learning.

Project mention: Safety in Deep Reinforcement Learning | /r/programming | 2023-12-06

• ContrXT

  1 23 0.0 Python

  a tool for comparing the predictions of any text classifiers

• XAI

  1 18 0.0 Python

  Genetic programming method for explaining complex black-box models

• causalglm

  2 17 0.0 R

  Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

  

• EPU-CNN

  1 5 7.3 Python

  Official Implementation of "E pluribus unum interpretable convolutional neural networks"

  

Project mention: EPU-CNN: Introducing Generalized Additive Models in CNNs for Interpretable Image Classification | /r/computervision | 2023-12-05

The code is also made available on Github here along with all the datasets used in the original research. Your feedback and contributions are highly welcome!

• xi-method

  1 5 8.5 Python

  Xi method

Project mention: [P] I created a package implementing a SOTA technique for XAI ( Explainable AI) | /r/MachineLearning | 2023-09-03

• SaaSHub

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interpretable-machine-learning related posts

• Safety in Deep Reinforcement Learning
  1 project | /r/programming | 6 Dec 2023
• Adversarial Reinforcement Learning
  1 project | /r/LocalLLaMA | 27 Oct 2023
• Adversarial Reinforcement Learning
  1 project | /r/compsci | 24 Oct 2023
• EzgiKorkmaz/adversarial-reinforcement-learning: Reading list for adversarial perspective and robustness in deep reinforcement learning.
  1 project | /r/programming | 22 Oct 2023
• Robust Reinforcement Learning
  1 project | /r/Automate | 19 Oct 2023
• Adversarial Reinforcement Learning
  1 project | /r/learnmachinelearning | 19 Oct 2023
• Adversarial Reinforcement Learning
  1 project | /r/cogsci | 24 Sep 2023
• A note from our sponsor - WorkOS
  workos.com | 27 Apr 2024

  The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →

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