model-explanation

There are 1 repository under model-explanation topic.

dmitrykazhdan / concept-based-xai
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
vae xai concept explainability interpretability model-explanation explainable-ai concept-extraction concept-explanation disentangled-representations disentanglement weakly-supervised-learning weak-supervision library
Language:Python 47
tamlhp / awesome-privex
Awesome PrivEx: Privacy-Preserving Explainable AI (PPXAI)
awesome explainable-ai explanation model-explanation xai privacy-preserving-explainable-ai privacy-preserving-explanation privacy-preserving-model-explanation privacy-preserving-xai privex ai-risk risk-assessment ai-safety
16
keras_boston_housing_price
rodrigobressan / keras_boston_housing_price
Keras 101: A simple Neural Network for House Pricing regression
keras boston-housing-price-prediction shap model-explanation jupyter-notebook
Language:Jupyter Notebook 15
dmitrykazhdan / MEME-RNN-XAI
MEME: Generating RNN Model Explanations via Model Extraction
rnn xai recurrent-neural-networks concept-explanation model-extraction model-explanation interpretability concept-extraction mimic-iii time-series explainable-ai
Language:Jupyter Notebook 12
mllite / sklearn_explain
Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
sklearn reason-codes score risk contribution general-data-protection-regulation gdpr classification right-to-explanation credit-scoring scorecard model-explanation interpretability black-box transparency
Language:Python 12
trustworthy-machine-learning / trustworthy-machine-learning.github.io
A School for All Seasons on Trustworthy Machine Learning
trustworthy-machine-learning privacy machine-learning-privacy robustness machine-learning-attack algorithmic-fairness algorithmic-transparency model-explanation
10
frankaging / Causal-Proxy-Model
The Codebase for Causal Proxy Model
causal-inference concept-learning explainable-ai interpretability model-explanation
Language:Python 9
ljmdeb / GSTA
Replacing a Black-box model by a Global Single Tree Approximation
xai interpretable-machine-learning cart-algorithm model-explanation scikit-learn
Language:Jupyter Notebook 4
abyanjan / Churn-Prediction-Modeling
Predicting Churn Probability for Telecom Customers and deploying the prediction model with Streamlit
python machine-learning random-forest model-explanation predictive-modeling streamlit-webapp
Language:Jupyter Notebook 2
lyj555 / MachineLearningProcess
主要包含ModelHelper和NLPHelper，其中ModelHelper主要有特征选择、超参数搜索、模型解释和模型融合等，NLPHelper则是进一步封装了NLP一些常用的操作，常用的网络结构以及几个NLP的任务
nlp featureselection parameter-tuning ensemble-model feature-selection model-explanation
Language:Python 2
tsabsch / goldeneye
Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.
data-science model-explanation
Language:Python 2
awesome-privex / awesome-privex.github.io
Official Website of https://github.com/tamlhp/awesome-privex
awesome explainable-ai explanation model-explanation sortable xai privacy-preserving-explainable-ai privacy-preserving-explanation privacy-preserving-model-explanation privacy-preserving-xai privex
Language:Jupyter Notebook 1
ml-libs / l2x
model-explanation
Language:Python 1
rgdavies92 / salaries-in-data
💷 💵 💶 A ML project containing web scraping, NLP and some classification model evaluation
machine-learning python3 web-scraping nlp classification-algorithims model-evaluation model-explanation
Language:Jupyter Notebook 1
IonBoleac / TorcheServe
A proof-of-concept on how to install and use Torchserve in various mode
docker k8s microk8s minikube python serving-pytorch-models torchserve model-explanation model-management model-predictions pytorch serving
Language:Python 0
cedrickchee / anchor
Code for "High-Precision Model-Agnostic Explanations" paper. A follow up to LIME model.
machine-learning model-interpretability model-explanation
Language:Jupyter Notebook
colbyford / pfHRP_MLModel
Modeling Plasmodium falciparum Diagnostic Test Sensitivity using Machine Learning with Histidine-Rich Protein 2 Variants
malaria malaria-detection machine-learning model-explanation plasmodium-falciparum bioinformatics azure-machine-learning azure-ml
Language:PostScript
nemochina2008 / DALEX_docs
Descriptive mAchine Learning EXplanations
model-explanation
Language:HTML