GitHub topics: interpretability-methods
Dependable-Intelligent-Systems-Lab/xwhy
Explaining black boxes with a SMILE: Statistical Mode-agnostic Interpretability with Local Explanations
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Yu-Group/imodels-experiments
Experiments with experimental rule-based models to go along with imodels.
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anondo1969/SHAMSUL
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'
Language: Python - Size: 32 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

StoicHistory/soc-predict
This project uses an Artificial Neural Network (ANN) to predict battery charge levels (SoC)
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kochlisGit/ProphitBet-Soccer-Bets-Predictor
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. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
Language: Python - Size: 3.47 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 389 - Forks: 132

mdkhairulislam2/Timeseries-Explained Fork of khairulislam/Timeseries-Explained
Interpreting Timeseries using Local Interpretation methods
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sakshikakde/interpretability_of_lstm
A repository to study the interpretability of time series networks(LSTM)
Language: Python - Size: 4.93 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

apartresearch/deepdecipher
🦠DeepDecipher: An open source API to MLP neurons
Language: Rust - Size: 3.71 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0

hans66hsu/nn_interpretability
Pytorch implementation of various neural network interpretability methods
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Yu-Group/clinical-rule-vetting
Learning clinical-decision rules with interpretable models.
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msakarvadia/memory_injections
Initial Exploratory Works on Knowledge Tracing in Transformer Based Language Models
Language: Python - Size: 943 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 1

gghimire2041/interpreting-LLMs
This repository will focus on interpretability of ML algorithms. From linear regression to transformers..
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archmaester/proto2proto
Official code of the CVPR 2022 paper "Proto2Proto: Can you recognize the car, the way I do?"
Language: Python - Size: 1.25 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 16 - Forks: 1

saurabheights/ROAR
Metrics for evaluating interpretability methods.
Language: Python - Size: 61.5 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 0

gianluigilopardo/anchors_vs_lime_text
A Comparison of Feature Importance and Rule Extraction for Interpretability on Text Data
Language: Python - Size: 2.18 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 0

CAMP-eXplain-AI/RoarTorch
CVPR 2021 | Metrics for evaluating interpretability methods.
Language: Python - Size: 41 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 3

h3dema/awesome-machine-learning-interpretability Fork of jphall663/awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
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