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The Top 23 Interpretability Open Source Projects

Open source projects categorized as Interpretability
Categories > Machine Learning > Interpretability
Neuron Importance Zsl ⭐ 47
[ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
most recent commit 6 years ago
Fooling Lime Shap ⭐ 47
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
most recent commit 2 years ago
Prototree ⭐ 46
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
most recent commit 2 years ago
Text_nn ⭐ 44
Text classification models. Used a submodule for other projects.
most recent commit 5 years ago
Autoprognosis ⭐ 43
A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
most recent commit a year ago
Contrastiveexplanation ⭐ 42
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
most recent commit a year ago
Mmn ⭐ 40
Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
most recent commit a year ago
Smoothinglatentspace ⭐ 38
CVPR 2021, Smoothing the Disentangled Latent Style Space for Unsupervised I2I Translation
most recent commit a year ago
Visual Correspondence Xai ⭐ 38
Official code for NeurIPS 2022 paper https://arxiv.org/abs/2208.00780 Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
most recent commit 3 months ago
Keymorph ⭐ 38
Robust multimodal brain registration via keypoints
most recent commit 4 months ago
Spine ⭐ 38
Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*, Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 2018
most recent commit 4 years ago
Concept Based Xai ⭐ 37
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
most recent commit 2 years ago
Loren ⭐ 36
Resources for our AAAI 2022 paper: "LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification".
most recent commit a year ago
Awesome Neural Trees ⭐ 35
Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"
most recent commit a year ago
Augmented Interpretable Models ⭐ 35
Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
most recent commit 4 months ago
Live ⭐ 35
Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN
total releases 10most recent commit 5 years ago
Rrr ⭐ 34
Code/figures in Right for the Right Reasons
most recent commit 3 years ago
Harmonization ⭐ 34
👋 Aligning Human & Machine Vision using explainability
most recent commit 9 months ago
Lda4rec ⭐ 34
🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.
most recent commit 2 years ago
Iprompt ⭐ 33
Finding semantically meaningful and accurate prompts.
most recent commit 6 months ago
Contraclip ⭐ 33
Authors official PyTorch implementation of the "ContraCLIP: Interpretable GAN generation driven by pairs of contrasting sentences".
most recent commit 2 years ago
Glcapsnet ⭐ 32
Global-Local Capsule Network (GLCapsNet) is a capsule-based architecture able to provide context-based eye fixation prediction for several autonomous driving scenarios, while offering interpretability both globally and locally.
most recent commit 3 years ago
Clue ⭐ 31
Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
most recent commit 7 months ago
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