interpretability-methods
There are 16 repositories under interpretability-methods topic.
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.
hans66hsu/nn_interpretability
Pytorch implementation of various neural network interpretability methods
Yu-Group/clinical-rule-vetting
Learning clinical-decision rules with interpretable models.
archmaester/proto2proto
Official code of the CVPR 2022 paper "Proto2Proto: Can you recognize the car, the way I do?"
Yu-Group/imodels-experiments
Experiments with experimental rule-based models to go along with imodels.
CAMP-eXplain-AI/RoarTorch
CVPR 2021 | Metrics for evaluating interpretability methods.
Dependable-Intelligent-Systems-Lab/xwhy
Explaining black boxes with a SMILE: Statistical Mode-agnostic Interpretability with Local Explanations
apartresearch/deepdecipher
š¦ DeepDecipher: An open source API to MLP neurons
msakarvadia/memory_injections
Initial Exploratory Works on Knowledge Tracing in Transformer Based Language Models
saurabheights/ROAR
Metrics for evaluating interpretability methods.
gianluigilopardo/anchors_vs_lime_text
Code for the paper "Comparing Feature Importance and Rule Extraction for Interpretability on Text Data", XAIE @ ICPR 2022
sakshikakde/interpretability_of_lstm
A repository to study the interpretability of time series networks(LSTM)
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'
gghimire2041/interpreting-LLMs
This repository will focus on interpretability of ML algorithms. From linear regression to transformers..
h3dema/awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
mdkhairulislam2/SA-Timeseries
Interpreting Timeseries using Local Interpretation methods