pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
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Jan 13, 2021 - Python
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model-interpretability
Here are 42 public repositories matching this topic...
Class Activation Map (CAM) Visualizations in PyTorch.
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May 20, 2020 - Python
surrogate quantitative interpretability for deepnets
motif-analysis surrogate-modelling explainable-ai model-interpretability attribution-methods regulatory-genomics
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Aug 11, 2025 - Python
Official repository for the paper "Instance-wise Causal Feature Selection for Model Interpretation" (CVPRW 2021)
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May 29, 2021 - Python
This article explores the theory behind explainable car pricing using value decomposition, showing how machine learning models can break a predicted price into intuitive components such as brand premium, age depreciation, mileage influence, condition effects, and transmission or fuel-type adjustments.
random-forest predictive-modeling sensitivity-analysis machine-learning-theory interpretable-ml explainable-ai model-interpretability economic-modeling feature-attribution applied-ml consumer-analytics value-decomposition data-science-methods transparent-ai pricing-intelligence automotive-analytics car-price-modeling ml-explainability automotive-ml explainable-pricing
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Dec 10, 2025 - Python
Code for "Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability" (https://arxiv.org/abs/2010.09750)
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Nov 10, 2020 - Python
Implementation of the Grad-CAM algorithm in an easy-to-use class, optimized for transfer learning projects and written using Keras and Tensorflow 2.x
python deep-learning tensorflow transfer-learning interpretability gradcam model-interpretability tensorflow2
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May 19, 2021 - Python
Universal probing and interpretability tool for MLX language models on Apple Silicon
mlx mixture-of-experts model-interpretability ablation-studies mechanistic-interpretability llm-inference llm-evaluation ai-interpretability apple-intelligence expert-routing gpt-oss-20b mlx-llms
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Jan 28, 2026 - Python
squid repository for manuscript analysis
motif-analysis surrogate-modelling explainable-ai model-interpretability attribution-methods regulatory-genomics
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Mar 5, 2024 - Python
Explainable AI (XAI) based system for detecting financial fraud using machine learning, with model interpretability, analysis, and research-backed implementation.
python data-science machine-learning scikit-learn classification fraud-detection feature-importance explainable-ai xai shap model-interpretability financial-fraud
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Apr 14, 2026 - Python
Scripts and trained models from our paper: M. Ntrougkas, N. Gkalelis, V. Mezaris, "T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers", IEEE Access, 2024. DOI:10.1109/ACCESS.2024.3405788.
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Sep 18, 2024 - Python
Exercise on interpretability with integrated gradients.
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Sep 28, 2023 - Python
Predictive modelling pipeline for customer or donor behaviour, with model comparison, ROC evaluation, and SHAP based interpretability using privacy safe features.
python data-science machine-learning churn-prediction customer-analytics shap analytics-pipeline model-interpretability predective-modeling
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Jan 21, 2026 - Python
Autonomous Metal is an autonomous AI workflow designed to mimic a quantitative commodity analyst, transforming market data and economic indicators into explainable forecasts and analyst-style insights for LME Aluminum price movements.
machine-learning automation deep-learning decision-support explainable-ai ai-systems applied-ai automated-reporting model-interpretability ml-pipeline feature-attribution decision-intelligence ai-workflow ai-analyst analytical-ai
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Mar 15, 2026 - Python
A lightweight Explainable AI CNN for PathMNIST medical imaging, achieving 91%+ accuracy with Integrated Gradients and SQLite-based attribution storage. Built in PyTorch, this scalable model delivers high performance, transparency, and real-world readiness, making it ideal for medical AI, edge deployment, and explainable deep learning research.
ai computer-vision deep-learning sqlite cnn pytorch medical-imaging pathology explainable-ai model-interpretability edge-ai integrated-gradients medical-ai captum ml-for-health healthcare-ai lightweight-model open-source-ai pathmnist scalable-ai
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Sep 13, 2025 - Python
code and difference of resolution for visualizing the loss landscape of a GAN and understanding what a loss landscape is
python machine-learning research deep-learning neural-network gan 3d-visualization 3d-graph model-interpretability loss-landscape
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Oct 25, 2025 - Python
🎯 Deep Learning Model Analysis Made Easy: Visualize and understand your model's behavior, attention patterns, and decision boundaries with interactive visualizations.
visualization machine-learning deep-learning pytorch uncertainty-quantification model-analysis attention-visualization model-interpretability
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Jan 27, 2025 - Python
4.76x Faster Attribution Graph Generation for LLMs and VLMs - Achieves 79% speedup by eliminating Python loops and vectorizing GPU operations. Works with GPT, LLaMA, Qwen, LLaVA, CLIP
machine-learning deep-learning gpu pytorch ai-safety performance-optimization model-interpretability vision-language-models
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Mar 11, 2026 - Python
Built and deployed a Flask-based machine learning system to predict loan default risk using customer demographics and financial indicators. Applied advanced ensemble models like XGBoost and LightGBM to achieve ~99% accuracy. Designed a full-stack solution with real-time prediction capabilities, enabling faster, smarter loan decisions in banking.
machine-learning scikit-learn xgboost lightgbm ensemble-learning predictive-modeling risk-assessment loan-default-prediction model-deployment python-project flask-webapp model-interpretability real-time-prediction loan-risk-analysis loan-approval-system banking-analytics financial-predictions credit-risk-modeling web-based-ml pickle-model
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Mar 12, 2026 - Python
🔍 Streamline tabular binary classification with model interpretability and SHAP consistency analysis for clear insights and robust evaluation.
python machine-learning random-forest scikit-learn xgboost lightgbm artificial-neural-networks logistic-regression support-vector-machine confusion-matrix roc-curve model-evaluation calibration-curve shap model-interpretability decision-curve-analysis feature-engineering-ml cross-model-consistency
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Apr 23, 2026 - Python
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