interpretability-methods

There are 1 repository 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.
soccer statistics feature-analysis deep-neural-networks feature-importance imbalanced-learning interpretability-methods machine-learning-algorithms neural-network random-forest soccer-betting soccer-matches football-data predictions upcoming-games imbalanced-learn data-visualization pandas-dataframe seaborn optuna
Language:Python 267
hans66hsu / nn_interpretability
Pytorch implementation of various neural network interpretability methods
pytorch lrp cnn-visualization interpretable-deep-learning interpretable saliency-map deepdream guided-backpropagation integrated-gradients smoothgrad activation-maximization deconvnet occlusion-sensitivity deeplift gradcam gradient-visualization interpretability-methods uncertainty-interpretability taylor-decomposition nn-interpretability
Language:Jupyter Notebook 104
archmaester / proto2proto
Official code of the CVPR 2022 paper "Proto2Proto: Can you recognize the car, the way I do?"
interpretability interpretability-methods knowledge-distillation prototypical-networks
Language:Python 19
Yu-Group / clinical-rule-vetting
Learning clinical-decision rules with interpretable models.
interpretability data-science medical rule-based imodels machine-learning ai xai stability python3 scikit-learn clinical-decision pecarn interpretability-methods dataset
Language:Jupyter Notebook 16
Yu-Group / imodels-experiments
Experiments with experimental rule-based models to go along with imodels.
interpretability-methods interpretability ai imodels rules machine-learning data-science xai tabular-data python python3 jupyter trees decision-trees shrinkage
Language:HTML 15
CAMP-eXplain-AI / RoarTorch
CVPR 2021 | Metrics for evaluating interpretability methods.
roar morf deep-neural-networks interpretability-methods python pytorch
Language:Python 9
apartresearch / deepdecipher
🦠 DeepDecipher: An open source API to MLP neurons
academic api interpretability interpretability-jam interpretability-methods machine-learning mechanistic-interpretability research website
Language:Rust 8
saurabheights / ROAR
Metrics for evaluating interpretability methods.
attribution-methods attribution-metrics pytorch neural-networks python roar morf deep-neural-networks interpretability-methods
Language:Python 7
Dependable-Intelligent-Systems-Lab / xwhy
Explaining black boxes with a SMILE: Statistical Mode-agnostic Interpretability with Local Explanations
machine-learning deep-learning interpretability interpretability-methods explainability xwhy lime smile
Language:Python 6
msakarvadia / memory_injections
Initial Exploratory Works on Knowledge Tracing in Transformer Based Language Models
interpretability-methods langauge-model multihop-reasoning
Language:Python 6
gianluigilopardo / anchors_vs_lime_text
A Comparison of Feature Importance and Rule Extraction for Interpretability on Text Data
explainable-ai interpretability interpretability-methods sentiment-analysis
Language:Python 4
sakshikakde / interpretability_of_lstm
A repository to study the interpretability of time series networks(LSTM)
interpretability interpretability-methods lstm lstm-neural-networks lstm-neural-network video-classification pytorch kth deep-learning-tutorial deep-learning
Language:Python 2
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'
chest-x-ray clinical-decision-support-system deep-learning grad-cam heatmap-visualization interpretability-methods lime lrp quantitative-analysis shap medical-significance human-annotation
Language:Python 1
gghimire2041 / interpreting-LLMs
This repository will focus on interpretability of ML algorithms. From linear regression to transformers..
interpretability-methods
Language:Jupyter Notebook
h3dema / awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
machine-learning interpretability-methods interpretable-machine-learning