Topic: explainer Goto Github
Some thing interesting about explainer
Some thing interesting about explainer
explainer,PGExplainer is a Minimal SudokuExplainer, to rate (ER/EP/ED) sudoku puzzles.
User: 1to9only
explainer,SudokuNCExplainer is my modifications to SudokuExplainer to also solve (and rate) Non-Consecutive sudokus (SudokuNC).
User: 1to9only
explainer,A small exposition of the uses, terminology and practice of the Apache Camel framework
Organization: accela-dublin-lab
explainer,Explanation method for Graph Neural Networks (GNNs)
User: alexduvalinho
explainer,ImputeVIS - eXascale Infolab, University of Fribourg, Switzerland
Organization: exascaleinfolab
Home Page: https://exascale.info/
explainer,Implementation of Model-Agnostic Graph Explainability Technique from Scratch in PyTorch
User: fork123aniket
explainer,
User: gulabpatel
explainer,Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.
Organization: interpretml
Home Page: https://interpret-community.readthedocs.io/en/latest/index.html
explainer,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
Organization: interpretml
explainer,Intuitive Zero-Knowledge Primer.
User: jan-ferdinand
Home Page: https://zudoku.xyz
explainer,画像の分類とモデルの説明性を可視化します。
User: kooose38
explainer,Step by step instructions explaining how to use GitHub
User: leowilkin
explainer,An interactive exploration of various number formats
User: mabi19
Home Page: https://mabi.land/numbers/
explainer,Home for explainer documents originated by the Microsoft Edge team
Organization: microsoftedge
explainer,Bachelor Thesis about using attention for explaining a deep learning AI model in computer vision
User: niklasullmann
explainer,Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
User: oegedijk
Home Page: http://explainerdashboard.readthedocs.io
explainer,A LIME explainer app for fine-grained sentiment classification, written using Dash.
User: prrao87
explainer,A LIME explainer app for fine-grained sentiment classification, written using Streamlit.
User: prrao87
explainer,Different approaches to solving coding challenges, along with explanations of the thinking involved.
User: ramseynjire
explainer,TL;DR FOSS: your beginner's overview of everything open source.
User: shanecurcuru
Home Page: https://tldrfoss.com/
explainer,This project is aimed at providing fast and efficient monitoring for discrete event systems
User: stefano-bs
explainer,An innovative way of presenting code
User: thewebmasterp
Home Page: https://code-explainer.thewebmasterp.com
explainer,Make sense of any code, anytime. 🚀
User: vaibhavacharya
Home Page: https://marketplace.visualstudio.com/items?itemName=vaibhavacharya.code-gpt-va
explainer,An explainer and diagram to help understand the syntax of the arc command of SVG paths.
User: waldyrious
explainer,A small explainer repository that shows how to use the BEM syntax in CSS.
User: whitep4nth3r
Home Page: https://whatisbem.netlify.app
explainer,Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
User: xiangwang1223
explainer,リックテレコム出版「XAI(説明可能なAI)──そのとき人工知能はどう考えたのか?」の勉強用リポジトリ
User: zeke320
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