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model-interpretation

Here are 18 public repositories matching this topic...

parrt / dtreeviz

A python library for decision tree visualization and model interpretation.

visualization python data-science machine-learning random-forest scikit-learn xgboost decision-trees model-interpretation

Updated Apr 29, 2022
Jupyter Notebook

oracle / Skater

Open

Code improvements

1

pramitchoudhary commented Aug 13, 2018

correcting handling asserts
- replacing assert condition with the pattern
  if not condition: raise AssertionError()

Read more

enhancement v1 help wanted good first issue

Open

Add support to build using Circle CI

Open

Update conda with the latest binaries

1

Find more good first issues

chitra

gradsflow / chitra

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

visualization python machine-learning deep-learning tensorflow image-processing pytorch image-classification image-dataset object-detection hacktoberfest bounding-boxes model-interpretation model-deployment model-serving model-visualization gradcam mlops fastapi

Updated Apr 23, 2022
Python

PaddlePaddle / InterpretDL

InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

grad-cam convolutional-neural-networks visualizations lime paddlepaddle model-interpretation nlp-models smoothgrad explanations vision-transformer interpretation-algorithms

Updated Jun 2, 2022
Jupyter Notebook

Jianbo-Lab / L2X

model-interpretation

Updated May 10, 2021
Python

Hellisotherpeople / Active-Explainable-Classification

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

python sklearn word-embeddings document-classification flair active-learning model-interpretation eli5 document-classifier model-interpretability

Updated Dec 18, 2021
HTML

anurags25 / FastAI-LIME

FastAI Model Interpretation with LIME

pytorch fastai lime model-interpretation

Updated Feb 7, 2019
Jupyter Notebook

TannerGilbert / Model-Interpretation

Sponsor

Overview of different model interpretability libraries.

lime model-interpretation shap model-interpretability captum tf-explain

Updated May 11, 2021
Jupyter Notebook

akifcinar / Machine_Learning_Interpretability

Overview of machine learning interpretation techniques and their implementations

python data-science machine-learning transparency interpretation interpretability model-interpretation interpretable-ai interpretable-ml mli xai interpretable-machine-learning machine-learning-interpretability interpretable-classifcation

Updated Jan 5, 2021
Jupyter Notebook

bhattbhavesh91 / dtreeviz-tutorial

Sponsor

Visualize a Decision Tree using dtreeviz

visualization python machine-learning decision-trees decision-tree-classifier decision-tree-algorithm model-interpretation decision-tree-regression dtreeviz

Updated Feb 20, 2022
Jupyter Notebook

Craven-Biostat-Lab / mihifepe

Model Interpretability via Hierarchical Feature Perturbation

machine-learning artificial-intelligence model-interpretation

Updated Mar 30, 2020
Python

SmellyArmure / OC_DS_Project7

Implémentation d'un modèle de scoring (OpenClassrooms | Data Scientist | Projet 7)

dashboard data-visualization dashboards feature-engineering custom-metrics flask-api data-cleaning bayesian-optimization heroku-deployment data-aggregation model-interpretation data-sampling shap imbalanced-classification streamlit local-interpretation risk-modeling pycaret lgbmclassifier data-ag

Updated Jan 31, 2021
Jupyter Notebook

mohitr7 / model-interpretability-for-machine-learning-models

Using LIME and SHAP for model interpretability of Machine Learning Black-box models.

python random-forest regression classification lime model-interpretation black-box-model shap model-interpretability

Updated Sep 13, 2019
Jupyter Notebook

nidhimanthale / Statistical-Modelling

Statistical Modelling of Swine Flu Outbreak Data

data analysis modeling sparse-data diagnostics logistic-regression outlier-detection goodness-of-fit hypothesis-testing model-building model-interpretation overdispersion model-fitting binomial-distribution likelihood-ratio-test forward-selection significance-testing preliminary-analysis interaction-testing anova-test

Updated Oct 27, 2020
R

GauravPandeyLab / ensemble_integration

Integrating multimodal data through heterogeneous ensembles

model-interpretation protein-function-prediction multimodal dataintegration

Updated Feb 9, 2022
Python

ruyiq / Coursera-AI-for-Medicine-Specialization

by deeplearning.ai

machine-learning image-segmentation model-interpretation multi-class-classification natural-language-extraction treatment-effect-estimation

Updated Jun 23, 2020

yakupkaplan / Sign-Language-Classification

Computer vision project for classifying American sign language.

deep-learning tensorflow keras artificial-neural-networks ensemble-learning data-augmentation model-evaluation model-interpretation cnn-classification

Updated Apr 16, 2021
Python

sheelabhadra / TAMU-Datathon-Model-Interpretability

Materials for the TAMU Datathon 2020 workshop on "Model Interpretability".

machine-learning random-forest model-interpretation

Updated Jul 26, 2020
Jupyter Notebook

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