#

explainable-ai

Here are 205 public repositories matching this topic...

interpretml / interpret

Star

Open

Interpret

4

wh3nd1g0h commented Jul 29, 2020

Yes

Read more

good first issue

mindsdb / mindsdb

Star

Open

Improve our documentation

3

ZoranPandovski commented Nov 24, 2020

Recently, we did a lot of new changes around our documentation and had a lot of new contributions. We need new users to visit our docs and help us to fix/find broken links, typos, or any general improvements/ideas to the MindsDB documentation..

Read more

good first issue help wanted

microsoft / tensorwatch

Star

Open

How to use Watcher / WatcherClient over tcp/ip network? (ex. cloud - local)

2

orihime-kitajima commented Jul 3, 2019

How to use Watcher / WatcherClient over tcp/ip network?

Watcher seems to ZMQ server, and WatcherClient is ZMQ Client, but there is no API/Interface to config server IP address.
Do I need to implement a class that inherits from WatcherClient?

Read more

enhancement good first issue

Trusted-AI / AIX360

Star

Interpretability and explainability of data and machine learning models

machine-learning deep-learning artificial-intelligence ibm-research explainable-ai explainable-ml xai ibm-research-ai codait trusted-ai trusted-ml explainabil

Updated Dec 4, 2020
Python

lopusz / awesome-interpretable-machine-learning

Star

data-science machine-learning interpretable-ai interpretable-ml explainable-ai xai interpretable-machine-learning

Updated Jul 9, 2020
Python

DALEX

ModelOriented / DALEX

Star

moDel Agnostic Language for Exploration and eXplanation

black-box data-science machine-learning predictive-modeling interpretability explainable-artificial-intelligence explanations explainable-ai explainable-ml xai model-visualization interpretable-machine-learning iml dalex explanatory-model-analysis

Updated Dec 25, 2020
Python

maelfabien / Machine_Learning_Tutorials

Star

Code, exercises and tutorials of my personal blog ! 📝

python machine-learning statistics dataviz ai deep-learning tensorflow example keras tutorials pytorch explainable-ai

Updated Feb 18, 2020
Jupyter Notebook

EthicalML / xai

Star

XAI - An eXplainability toolbox for machine learning

machine-learning ai evaluation ml artificial-intelligence upsampling bias interpretability feature-importance explainable-ai explainable-ml xai imbalance downsampling explainability bias-evaluation machine-learning-explainability xai-library

Updated Oct 5, 2019
Python

interpretml / DiCE

Star

Generate Diverse Counterfactual Explanations for any machine learning model.

machine-learning deep-learning explainable-ai explainable-ml xai interpretable-machine-learning counterfactual-explanations

Updated Dec 15, 2020
Python

aerdem4 / lofo-importance

Star

Leave One Feature Out Importance

data-science machine-learning feature-selection feature-importance explainable-ai

Updated Jul 2, 2020
Python

idealo / cnn-exposed

Star

🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.

machine-learning computer-vision deep-learning neural-network explainable-ai interpretable-machine-learning

Updated Mar 29, 2019
Jupyter Notebook

explainx

explainX / explainx

Star

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

machine-learning scikit-learn transparency blackbox bias interpretability explainable-artificial-intelligence interpretable-ai explainable-ai explainable-ml xai interpretable-machine-learning machine-learning-interpretability explainability aws-sagemaker explainx

Updated Dec 23, 2020
Jupyter Notebook

modelStudio

ModelOriented / modelStudio

Star

📍 Interactive Studio for Explanatory Model Analysis

machine-learning predictive-modeling interactive-visualizations interpretability explainable-artificial-intelligence explainable-ai explainable-ml xai model-visualization interpretable-machine-learning iml explainability explanatory-model-analysis explainable-machine-learning

Updated Nov 23, 2020
R

ScalaConsultants / Aspect-Based-Sentiment-Analysis

Star

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

machine-learning deep-learning sentiment-analysis tensorflow transformers interpretability aspect-based-sentiment-analysis explainable-ai explainable-ml distill bert-embeddings transformer-models

Updated Dec 14, 2020
Python

suinleelab / path_explain

Star

A repository for explaining feature attributions and feature interactions in deep neural networks.

machine-learning tensorflow interpretable-deep-learning explainable-ai

Updated Oct 5, 2020
Jupyter Notebook

hierarchical-dnn-interpretations

csinva / hierarchical-dnn-interpretations

Star

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" (ICLR 2019)

python data-science machine-learning statistics deep-neural-networks ai deep-learning neural-network jupyter-notebook ml pytorch artificial-intelligence convolutional-neural-networks acd interpretation interpretability feature-importance explainable-ai iclr2019 explainability

Updated Dec 16, 2020
Jupyter Notebook

zxhuang1698 / interpretability-by-parts

Star

Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)

pytorch celeba interpretability celeba-dataset fine-grained-classification explainable-ai face-segmentation pytorch-implementation cub-dataset part-based-models weakly-supervised-segmentation weakly-supervised-localization cvpr2020 cvpr-2020 cvpr-oral

Updated Aug 27, 2020
Python

shijx12 / XNM-Net

Star

Pytorch implementation of "Explainable and Explicit Visual Reasoning over Scene Graphs "

scene-graph clevr visual-reasoning explainable-ai neural-module-networks cvpr2019

Updated Mar 17, 2019
Python

d909b / cxplain

Star

Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.

machine-learning deep-learning interpretability explainable-ai explainable-ml explainability

Updated Aug 22, 2020
Python

mdipietro09 / DataScience_ArtificialIntelligence_Utils

Star

Examples of Data Science projects and Artificial Intelligence use cases

python data-science machine-learning natural-language-processing reinforcement-learning computer-vision deep-learning time-series examples regression data-visualization artificial-intelligence classification explainable-ai explainable-ml

Updated Dec 21, 2020
Jupyter Notebook

declare-lab / dialogue-understanding

Star

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

natural-language-processing sentiment-analysis dialogue pytorch lstm pretrained-models emotion-analysis bert dialogue-systems conversational-agents emotion-recognition natural-language-understanding conversational-ai adversarial-attacks explainable-ai dialogue-act emotion-recognition-in-conversation bert-embeddings dialogue-understanding utterance-level-dialogue

Updated Nov 24, 2020
Python

deep-explanation-penalization

laura-rieger / deep-explanation-penalization

Star

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

python data-science machine-learning ai deep-learning neural-network jupyter-notebook ml pytorch artificial-intelligence convolutional-neural-network fairness interpretability cdep feature-importance recurrent-neural-network interpretable-deep-learning explainable-ai explainability fairness-ml

Updated Oct 5, 2020
Jupyter Notebook

NorskRegnesentral / shapr

Star

Explaining the output of machine learning models with more accurately estimated Shapley values

rcpp rstats rcpparmadillo explainable-ai explainable-ml shapley

Updated Dec 10, 2020
R

eclique / RISE

Star

Detect model's attention

classification saliency-map saliency explainable-ai xai

Updated Jul 2, 2020
Jupyter Notebook

wangyongjie-ntu / Awesome-explainable-AI

Star

A collection of research materials on explainable AI/ML

xml interpretability explanation-system interpretable-ai explainable-ai xai counterfactual-explanations recourse

Updated Dec 24, 2020

cair / fast-tsetlin-machine-with-mnist-demo

Star

A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.

machine-learning artificial-intelligence mnist pattern-recognition bitwise-operators frequent-pattern-mining rule-based explainable-ai tsetlin-machine

Updated Aug 16, 2019
C

firmai / ml-fairness-framework

Star

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

contrastive counterfactual explainable-ai explainable-ml xai interpretable-machine-learning fairness-ai aif360 fairness-ml alibi prototypical aix360 fairness-indicators

Updated Jun 5, 2020
Jupyter Notebook

pbiecek / XAIatERUM2020

Sponsor Star

Workshop: Explanation and exploration of machine learning models with R and DALEX at eRum 2020

explainable-ai interpretable-machine-learning dalex explanatory-model-analysis

Updated Jun 20, 2020
R

RLOpensource / Relational_Deep_Reinforcement_Learning

Star

reinforcement-learning tensorflow relational-networks proximal-policy-optimization ppo explainable-ai self-attention

Updated Apr 15, 2019
Python

chihkuanyeh / Representer_Point_Selection

Star

code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018

deep-learning interpretability explainable-ai neurips-2018

Updated Feb 7, 2019
Jupyter Notebook

Improve this page

Add a description, image, and links to the explainable-ai topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the explainable-ai topic, visit your repo's landing page and select "manage topics."

You can’t perform that action at this time.