ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using advanced Machine Learning (ML) methods. Additionally, it provides betting agents based on Deep Reinforcement Learning (DRL), which can learn optimal betting strategies.

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• Updated Oct 27, 2026
• Python

Pytorch implementation of various neural network interpretability methods

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• Updated Mar 8, 2022
• Jupyter Notebook

Learning clinical-decision rules with interpretable models.

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• Updated Aug 10, 2023
• Jupyter Notebook

Official code of the CVPR 2022 paper "Proto2Proto: Can you recognize the car, the way I do?"

knowledge-distillation interpretability prototypical-networks interpretability-methods

• Updated May 2, 2022
• Python

Experiments with experimental rule-based models to go along with imodels.

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• Updated May 22, 2026
• Jupyter Notebook

Explaining black boxes with a SMILE: Statistical Mode-agnostic Interpretability with Local Explanations

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• Updated Nov 7, 2026
• Python

Initial Exploratory Works on Knowledge Tracing in Transformer Based Language Models

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• Updated Feb 21, 2024
• Python

CVPR 2021 | Metrics for evaluating interpretability methods.

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• Updated Mar 29, 2021
• Python

Code for the paper "Comparing Feature Importance and Rule Extraction for Interpretability on Text Data", XAIE @ ICPR 2022

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• Updated Oct 26, 2024
• Python

🦠 DeepDecipher: An open source API to MLP neurons

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• Updated May 2, 2024
• Rust

Metrics for evaluating interpretability methods.

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• Updated Mar 20, 2023
• Python

This project focuses on modeling auto encoder-based architectures for unsupervised detection of anomalies in 12-lead electrocardiograms (ECGs)

unsupervised-learning anomaly-detection interpretability-methods

• Updated Jul 4, 2025
• Python

A repository to study the interpretability of time series networks(LSTM)

deep-learning pytorch lstm deep-learning-tutorial kth lstm-neural-networks video-classification interpretability lstm-neural-network interpretability-methods

• Updated Jan 6, 2022
• Python

Repository for the journal article 'SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction'

deep-learning grad-cam lime quantitative-analysis lrp chest-x-ray shap human-annotation heatmap-visualization interpretability-methods clinical-decision-support-system medical-significance

• Updated Mar 3, 2026
• Python

A curated list of awesome machine learning interpretability resources.

machine-learning interpretable-machine-learning interpretability-methods

• Updated Dec 2, 2021

Research site, private study instruments and evidence registry for observable model behavior. Astro + Cloudflare, with provenance-linked releases.

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• Updated Nov 9, 2026
• Python

computational-biology hypergraph-learning interpretability-methods

• Updated May 12, 2026
• Python

Validating attribution methods for 3D brain MRI: faithfulness, randomized-weight sanity checks, and corrected region tests on a frozen SFCN using public pediatric data.

deep-learning medical-imaging neuroimaging brain-mri interpretability neuroimaging-analysis explainable-ai neuroimaging-data-science saliency-maps medical-imaging-with-deep-learning brain-mri-images explainable-ai-in-medical-imaging interpretability-methods medical-imaging-classification interpretability-and-explainability explainable-ai-xai interpretability-ai interpretability-research medical-imaging-analysis interpretability-experiments

• Updated Nov 9, 2026
• Jupyter Notebook