explainable-ml
There are 264 repositories under explainable-ml topic.
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
microsoft/tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
MAIF/shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
AstraZeneca/awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
divelab/DIG
A library for graph deep learning research
truera/trulens
Evaluation and Tracking for LLM Experiments
Trusted-AI/AIX360
Interpretability and explainability of data and machine learning models
ModelOriented/DALEX
moDel Agnostic Language for Exploration and eXplanation
csinva/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
interpretml/DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
microsoft/responsible-ai-toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
EthicalML/xai
XAI - An eXplainability toolbox for machine learning
salesforce/OmniXAI
OmniXAI: A Library for eXplainable AI
deel-ai/xplique
👋 Xplique is a Neural Networks Explainability Toolbox
ScalaConsultants/Aspect-Based-Sentiment-Analysis
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
h2oai/mli-resources
H2O.ai Machine Learning Interpretability Resources
mdipietro09/DataScience_ArtificialIntelligence_Utils
Examples of Data Science projects and Artificial Intelligence use-cases
explainX/explainx
Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu
keisen/tf-keras-vis
Neural network visualization toolkit for tf.keras
carla-recourse/CARLA
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
ashutosh1919/explainable-cnn
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
benedekrozemberczki/shapley
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
mims-harvard/GraphXAI
GraphXAI: Resource to support the development and evaluation of GNN explainers
NorskRegnesentral/shapr
Explaining the output of machine learning models with more accurately estimated Shapley values
AstraZeneca/awesome-shapley-value
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
d909b/cxplain
Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
whyisyoung/CADE
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
bgreenwell/fastshap
Fast approximate Shapley values in R
ajayarunachalam/Deep_XF
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
andreysharapov/xaience
All about explainable AI, algorithmic fairness and more
dylan-slack/TalkToModel
TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!
fzi-forschungszentrum-informatik/TSInterpret
An Open-Source Library for the interpretability of time series classifiers
salimamoukou/acv00
ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.
nla-group/classix
Fast and explainable clustering in Python