Hacker News
- PiML: Python Interpretable Machine Learning Toolbox https://github.com/SelfExplainML/PiML-Toolbox 20 comments
- Interpretability in Machine Learning: An Overview https://thegradient.pub/interpretability-in-ml-a-broad-overview/ 46 comments
- Interpretable Machine Learning https://christophm.github.io/interpretable-ml-book/ 5 comments
- Interpretable Machine Learning https://christophm.github.io/interpretable-ml-book/ 23 comments
- The Mythos of Model Interpretability in Machine Learning https://queue.acm.org/detail.cfm?id=3241340 27 comments
- Interpretable Machine Learning: A Guide for Making Black Box Models Explainable https://christophm.github.io/interpretable-ml-book/ 10 comments
- Interpretable Machine Learning Through Teaching https://blog.openai.com/interpretable-machine-learning-through-teaching/ 6 comments
- Shapash – Python library to make machine learning interpretable https://maif.github.io/shapash/ 11 comments
- Lime: model agnostic interpretability for machine learning https://github.com/marcotcr/lime 2 comments
- Visualize how a Machine-Learning algorithm interprets the grammatical structure of your sentences. https://surl.im/r96o 6 comments web_design
- Visualize how a Machine-Learning system interprets the grammatical structure of your sentences. https://foxtype.com/sentence-tree?r=science 7 comments science
- How do I interpret this equation to make machine learning https://ars.els-cdn.com/content/image/1-s2.0-S0010482524004232-mmc1.docx 10 comments mlquestions
- GitHub - MAIF/shapash: Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models https://github.com/MAIF/shapash 2 comments learnmachinelearning
- [R] Tsetlin Machine in Medical Research - Striking Differences Between Tsetlin Machine Interpretability and Deep Learning Attention https://arxiv.org/abs/2301.10181 9 comments machinelearning
- Harnessing interpretable and unsupervised machine learning to address big data from modern X-ray diffraction https://www.pnas.org/doi/10.1073/pnas.2109665119 3 comments science
- Interpretable machine learning predicts terrorism worldwide https://techxplore.com/news/2021-08-machine-terrorism-worldwide.html 4 comments technology
- I wrote a guide on tools for interpretable machine learning in English, math, R, and python! https://josephsdavid.github.io/iml.html 6 comments rstats
- Interpretable Machine Learning https://christophm.github.io/interpretable-ml-book/ 7 comments datascience
- Tnt-LLM: A Novel Machine Learning Framework that Combines the Interpretability of Manual Approaches with the Scale of Automatic Text Clustering and Topic Modeling https://app.daily.dev/posts/vVCKgWbR7 2 comments languagetechnology
- [P] Learn how to perform logical convolution with interpretable rules in Tsetlin Machine Book Chapter 4: Convolution! https://tsetlinmachine.org 4 comments machinelearning