Topic: explainable-ml Goto Github
Some thing interesting about explainable-ml
Some thing interesting about explainable-ml
explainable-ml,The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning Interpretable Rules for Scalable Data Representation and Classification"
User: 12wang3
explainable-ml,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.
User: ajayarunachalam
explainable-ml,All about explainable AI, algorithmic fairness and more
User: andreysharapov
explainable-ml,π¦ PyTorch based visualization package for generating layer-wise explanations for CNNs.
User: ashutosh1919
Home Page: https://pypi.org/project/explainable-cnn/
explainable-ml,A collection of research papers and software related to explainability in graph machine learning.
Organization: astrazeneca
explainable-ml,Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
Organization: astrazeneca
explainable-ml,Amazon SageMaker Solution for explaining credit decisions.
Organization: awslabs
explainable-ml,The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
User: benedekrozemberczki
explainable-ml,Fast approximate Shapley values in R
User: bgreenwell
Home Page: https://bgreenwell.github.io/fastshap/
explainable-ml,CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
Organization: carla-recourse
explainable-ml,Model Agnostic Counterfactual Explanations
Organization: charmlab
explainable-ml,Interpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).
User: csinva
Home Page: https://csinva.io/imodels
explainable-ml,Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.
User: d909b
explainable-ml,π Xplique is a Neural Networks Explainability Toolbox
Organization: deel-ai
Home Page: https://deel-ai.github.io/xplique
explainable-ml,A library for graph deep learning research
Organization: divelab
Home Page: https://diveintographs.readthedocs.io/
explainable-ml,TalkToModel gives anyone with the powers of XAI through natural language conversations π¬!
User: dylan-slack
Home Page: https://nlp.ics.uci.edu/talk-to-healthcare-model/
explainable-ml,XAI - An eXplainability toolbox for machine learning
Organization: ethicalml
Home Page: https://ethical.institute/principles.html#commitment-3
explainable-ml,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 @ [email protected]
Organization: explainx
explainable-ml,FairPut - Machine Learning Fairness Framework with LightGBM β Explainability, Robustness, Fairness (by @firmai)
User: firmai
Home Page: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3619715
explainable-ml,An Open-Source Library for the interpretability of time series classifiers
Organization: fzi-forschungszentrum-informatik
explainable-ml,H2O.ai Machine Learning Interpretability Resources
Organization: h2oai
explainable-ml,Generate Diverse Counterfactual Explanations for any machine learning model.
Organization: interpretml
Home Page: https://interpretml.github.io/DiCE/
explainable-ml,Fit interpretable models. Explain blackbox machine learning.
Organization: interpretml
Home Page: https://interpret.ml/docs
explainable-ml,Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
User: jacobgil
Home Page: https://jacobgil.github.io/pytorch-gradcam-book
explainable-ml,A list of (post-hoc) XAI for time series
User: jhoelli
explainable-ml,A curated list of awesome responsible machine learning resources.
User: jphall663
explainable-ml,Neural network visualization toolkit for tf.keras
User: keisen
Home Page: https://keisen.github.io/tf-keras-vis-docs/
explainable-ml,SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
User: kiraving
Home Page: https://ojs.aaai.org/index.php/AAAI/article/view/7244
explainable-ml,ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
User: m-nauta
explainable-ml,π Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Organization: maif
Home Page: https://maif.github.io/shapash/
explainable-ml,Examples of Data Science projects and Artificial Intelligence use-cases
User: mdipietro09
explainable-ml,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.
Organization: microsoft
Home Page: https://responsibleaitoolbox.ai/
explainable-ml,Debugging, monitoring and visualization for Python Machine Learning and Data Science
Organization: microsoft
explainable-ml,GraphXAI: Resource to support the development and evaluation of GNN explainers
Organization: mims-harvard
Home Page: https://zitniklab.hms.harvard.edu/projects/GraphXAI
explainable-ml,moDel Agnostic Language for Exploration and eXplanation
Organization: modeloriented
Home Page: https://dalex.drwhy.ai
explainable-ml,Flexible tool for bias detection, visualization, and mitigation
Organization: modeloriented
Home Page: https://fairmodels.drwhy.ai/
explainable-ml,Explainable Machine Learning in Survival Analysis
Organization: modeloriented
Home Page: https://modeloriented.github.io/survex
explainable-ml,Dataset and code for "Explainable Automated Fact-Checking for Public Health Claims" from EMNLP 2020.
User: neemakot
Home Page: https://arxiv.org/pdf/2010.09926
explainable-ml,Fast and explainable clustering in Python
Organization: nla-group
Home Page: https://classix.readthedocs.io/en/stable/
explainable-ml,Explaining the output of machine learning models with more accurately estimated Shapley values
Organization: norskregnesentral
Home Page: https://norskregnesentral.github.io/shapr/
explainable-ml,Pixel-Level Face Image Quality Assessment for Explainable Face Recognition
User: pterhoer
explainable-ml,Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
User: rehmanzafar
explainable-ml,OmniXAI: A Library for eXplainable AI
Organization: salesforce
explainable-ml,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.
User: salimamoukou
explainable-ml,π Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
Organization: scalaconsultants
explainable-ml,Evaluation and Tracking for LLM Experiments
Organization: truera
Home Page: https://www.trulens.org/
explainable-ml,Interpretability and explainability of data and machine learning models
Organization: trusted-ai
Home Page: https://aix360.res.ibm.com/
explainable-ml,Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
User: whyisyoung
Home Page: https://liminyang.web.illinois.edu
explainable-ml,Explaining dimensionality results using SHAP values
User: wilsonjr
explainable-ml,Real-time explainable machine learning for business optimisation
Organization: xplainable
Home Page: https://www.xplainable.io
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.