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The Top 23 Explainable Ai Open Source Projects

Open source projects categorized as Explainable Ai
Categories > Explainable Ai
Rise ⭐ 44
Detect model's attention
most recent commit 4 years ago
Neuro Symbolic Sudoku Solver ⭐ 44
⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
most recent commit 2 years ago
Logic_explained_networks ⭐ 43
Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.
most recent commit 10 months ago
Contrastiveexplanation ⭐ 42
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
most recent commit a year ago
Influenciae ⭐ 42
👋 Influenciae is a Tensorflow Toolbox for Influence Functions
most recent commit 6 months ago
Main ⭐ 41
Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several folders, or covering topics spanning across multiple folders..
most recent commit 5 months ago
Explainablevqa ⭐ 41
[ACMMM Oral, 2023] "Towards Explainable In-the-wild Video Quality Assessment: A Database and a Language-Prompted Approach"
most recent commit 5 months ago
Relational_deep_reinforcement_learning ⭐ 41
most recent commit 5 years ago
Clustershapley ⭐ 40
Explaining dimensionality results using SHAP values
total releases 3most recent commit a year ago
Torchprism ⭐ 40
Principal Image Sections Mapping. Convolutional Neural Network Visualisation and Explanation Framework
total releases 4most 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
Wikiwhy ⭐ 38
WikiWhy is a new benchmark for evaluating LLMs' ability to explain between cause-effect relationships. It is a QA dataset containing 9000+ "why" question-answer-rationale triplets.
most recent commit 5 months ago
Self_critical_vqa ⭐ 37
Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''
most recent commit 5 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
Shapleyexplanationnetworks ⭐ 36
Implementation of the paper "Shapley Explanation Networks"
most recent commit 3 years ago
Graphlime ⭐ 35
This is a Pytorch implementation of GraphLIME
total releases 3most recent commit 2 years ago
Goneat_ns ⭐ 35
This project provides GOLang implementation of Neuro-Evolution of Augmented Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima
total releases 7most recent commit 5 months ago
Ceml ⭐ 35
CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
total releases 11most recent commit 3 months ago
Harmonization ⭐ 34
👋 Aligning Human & Machine Vision using explainability
most recent commit 9 months ago
Color_distillation ⭐ 33
Codes for CVPR 2020 paper "Learning to Structure an Image with Few Colors". Critical structure for network recognition. #explainable-ai
most recent commit 3 years ago
Iprompt ⭐ 33
Finding semantically meaningful and accurate prompts.
most recent commit 6 months ago
Yolo Heatmaps ⭐ 32
A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).
most recent commit 5 months ago
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