Topic: explanations Goto Github
Some thing interesting about explanations
Some thing interesting about explanations
explanations,Terms, Abbreviations, Mnemonics, etc used in Software Development/Engineering.
User: abhishekakade
explanations,A repository dedicated to showcasing best practices in Java and Spring through concise code snippets.
User: agitrubard
explanations,A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).
User: akarasman
explanations,Solutions and explanations for competitive programming problems.
User: aldew5
explanations,Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources
Organization: altamiracorp
explanations,A list of research papers of explainable machine learning.
User: birkhoffg
explanations,Master thesis work: explaining deep reinforcement learning policies
User: bonaert
explanations,Anupam Datta, Matt Fredrikson, Klas Leino, Kaiji Lu, Shayak Sen, Zifan Wang
Organization: cmu-transparency
Home Page: https://fairlyaccountable.org/aaai-2021-tutorial/
explanations,The unofficial devRant API documentation
Organization: devrant-community
Home Page: https://devrantapi.docs.apiary.io
explanations,General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems
User: dmitrykazhdan
explanations,A simple piano made in vanilla Javascript
User: dualcorebrain
Home Page: https://dualcorebrain.github.io/Javascript-Piano/
explanations,Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
User: dylan-slack
explanations,Well made learning resources and articles.
User: eync
explanations,A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).
User: fhvilshoj
explanations,Implementation of Model-Agnostic Graph Explainability Technique from Scratch in PyTorch
User: fork123aniket
explanations,From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein’s Theory of Explanation
User: francesco-sovrano
explanations,This repo is a collection of all the programming assignments I've completed during my studies on the University of Zielona Góra since October 2023
User: guliveer
explanations,A collection of intuitive explanations and short summaries (hence the name "Intuitive Shorts") of important and interesting ML/NLP/CV concepts
User: harshit158
Home Page: https://intuitiveshorts.blogspot.com/
explanations,PowerShell version of explainshell.com
User: jawz84
Home Page: https://www.explainpowershell.com/
explanations,Robust Attribution Regularization
User: jfc43
explanations,Counterfactual SHAP: a framework for counterfactual feature importance
Organization: jpmorganchase
explanations,Counterfactual Shapley Additive Explanation: Experiments
Organization: jpmorganchase
explanations,My Leetcode Adventure
User: justjie2002
explanations,A provenance tree generator for recursive Datalog with negation (and Dedalus).
User: kdahlgren
explanations,Many time, when an interview approaches, candidates start searching for different algorithms in different programming languages for practise. This project aims to build a website which will contain the codes along with the techniques and explanations so that it can be helpful for many
Organization: letsupgrade
Home Page: https://abhijit2505.github.io/Algorithmic-Treasure-Site/
explanations,Repository for the Explainable Deep One-Class Classification paper
User: liznerski
explanations,A PyTorch based implementation of MMD-critic
User: maxidl
explanations,This is my tutorial to help those that want to learn how to code that have no prior experience.
User: memory-1
explanations,Meaningfully debugging model mistakes with conceptual counterfactual explanations. ICML 2022
User: mertyg
explanations,Implementation of ExCut: Explainable Embedding-based Clustering over Knowledge Graphs
User: mhmgad
explanations,[Frontiers in AI Journal] Implementation of the paper "Interpreting Vision and Language Generative Models with Semantic Visual Priors"
User: michelecafagna26
explanations, Efficient Explaining CSPs with Unsatisfiable Subset Optimization
Organization: ml-kuleuven
explanations,moDel Agnostic Language for Exploration and eXplanation
Organization: modeloriented
Home Page: https://dalex.drwhy.ai
explanations,Triplot: Instance- and data-level explanations for the groups of correlated features.
Organization: modeloriented
Home Page: https://modeloriented.github.io/triplot/
explanations,Some information about parameters and options available in COLMAP - SfM & MVS software. https://colmap.github.io
User: mwtarnowski
explanations,A list of high-quality Computer Graphics & Computer Vision learning resources.
User: mwtarnowski
explanations,A collection of common algorithms and data structures implemented in Java.
User: nishantc1527
explanations,[Python] Code repository for the paper "A Deep Adversarial Framework for Visually Explainable Periocular Recognition" - CVPR 2021 Biometrics Workshop
User: ojoaobrito
explanations,A human-centric explainable approach for fake news spreading detection on Twitter threads
User: orestislampridis
explanations,InterpretDL: Interpretation of Deep Learning Models,基于『飞桨』的模型可解释性算法库。
Organization: paddlepaddle
Home Page: https://interpretdl.readthedocs.io
explanations,Features programs and explanations in C++. You are welcome to contribute here!
User: prajaktasathe
explanations,Everything you need to know about Shadow DOM
User: praveenpuglia
explanations,A self learning exercise in low level system programming (OS and kernel programming) for the x86 architecture.
User: redfox0x20
explanations,Algorithms for explaining machine learning models
Organization: seldonio
Home Page: https://docs.seldon.io/projects/alibi/en/stable/
explanations,Popular algorithms explained in simple language with examples and links to their implementation in various programming languages and other required resources.
Organization: thealgorithms
explanations,e-commerce skate-shop
User: tlrkiliann
explanations,PUS-C on Rust. This is the entry point for the Prust tools. List of the tools and a Wiki for them.
Organization: visionspacetec
explanations,Explaining dimensionality results using SHAP values
User: wilsonjr
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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
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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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.