Topic: lime Goto Github
Some thing interesting about lime
Some thing interesting about lime
lime,Implementation of the paper, "LIME: Low-Light Image Enhancement via Illumination Map Estimation", which is for my graduation thesis.
User: aeinrw
lime,ProjectFNF is a mostly quality-of-life engine for Friday Night Funkin. It is easy to understand and is super flexible.
User: aflacc
Home Page: https://aflacck.itch.io/projectfnf
lime,Build a Web App called Menara to Predict, Forecast House Prices and search GreatSchools in California - Bay Area
User: akthammomani
lime,An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learning algorithm - in this case a Radom Forest regressor.
User: alexioannides
lime,FastAI Model Interpretation with LIME
User: anurags25
lime,Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
Organization: astrazeneca
lime,CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
User: cebabing
Home Page: https://cebabing.github.io/CEBaB/
lime,Build an scikit-learn model to predict churn using customer telco data.
Organization: cloudera
lime,Learn how to explain ML models using LIME and SHAP.
Organization: cloudera
lime,Local Interpretable Model-Agnostic Explanations For Time Series Forecast Models
Organization: dbvis-ukon
lime,Explaining black boxes with a SMILE: Statistical Mode-agnostic Interpretability with Local Explanations
Organization: dependable-intelligent-systems-lab
lime,General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems
User: dmitrykazhdan
lime,Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
User: dylan-slack
lime,Local explanations with uncertainty 💐!
User: dylan-slack
lime,Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
User: emanuel-metzenthin
lime,Applying GradCAM method with 3 kinds of CNN-based model for NLP classification task on french dataset.
Organization: ensae-ckw
lime,Comparing 5 different XAI techniques (LIME, PermSHAP, KernelSHAP, DiCE, CEM) through quantitative metrics. Published at EDM 2022.
Organization: epfl-ml4ed
Home Page: https://arxiv.org/pdf/2207.00551.pdf
lime,Multicycles.org aggregates on one map, more than 300 share vehicles like bikes, scooters, mopeds and cars. Demo APP for the Data Flow API, see https://flow.fluctuo.com
Organization: fluctuo
Home Page: https://multicycles.org/
lime,In this repository, we would see different available libraries for Exploratory Data Analysis
User: gulabpatel
lime,Gets a list of closest lime scooters to a location, or notifies you if one is close
User: huntersgordon
lime,Introduction to explaining data and machine learning models with aif360
Organization: ibmdeveloperuk
lime,LIME-SAM aims to create an Explainable Artificial Intelligence (XAI) framework for image classification using LIME (Local Interpretable Model-agnostic Explanations) as the base algorithm, with the super-pixel method replaced by Segment Anything by Meta (SAM).
User: jaydeep-work
lime,Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
User: jphall663
lime,Qt-DAB, a general software DAB (DAB+) decoder with a (slight) focus on showing the signal
User: jvankatwijk
Home Page: http://www.sdr-j.tk
lime,This demo shows how to interpret the classification by CNN using LIME (Local Interpretable Model-agnostic Explanations)
User: kentaitakura
lime,🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Organization: maif
Home Page: https://maif.github.io/shapash/
lime,2D OpenGL Render Library in haxe/lime - old origin version
User: maitag
lime,Causality-Aware Local Interpretable Model Agnostic Explanations
User: marti5ini
lime,This repository introduces different Explainable AI approaches and demonstrates how they can be implemented with PyTorch and torchvision. Used approaches are Class Activation Mappings, LIMA and SHapley Additive exPlanations.
User: marvinbuss
lime,Unpack, Pack & Resign files encrypted with the 1st version of "Lime" encryption.
User: mi5hmash
lime,Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN
Organization: modeloriented
Home Page: https://modeloriented.github.io/live/
lime,Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
User: navdeep-g
lime,Short overview over the components used by Lime Scooters fleet
User: nervous-inhuman
lime,Simple C# Keylogger (Keyboard Layout)
User: nyan-x-cat
lime,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
lime,A Flask LIME explainer app for fine-grained sentiment classification.
User: prrao87
lime,Python implementation of two low-light image enhancement techniques via illumination map estimation
User: pvnieo
lime,In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
User: rehmanzafar
Home Page: https://doi.org/10.3390/make3030027
lime,Implementation of explainability algorithms (layer-wise relevance propagation, local interpretable model-agnostic explanations, gradient-weighted class activation mapping) on computer vision architectures to identify and explain regions of COVID 19 pneumonia in chest X-ray and CT scans.
User: samsonq
lime,Poco M3/Redmi 9T Global Kernel
Organization: stormbreaker-project
lime,C# LIME protocol implementation
Organization: takenet
lime,Overview of different model interpretability libraries.
User: tannergilbert
Home Page: https://gilberttanner.com/tag/model-interpretation/
lime,A XAI Framework to provide Contrastive Whole-output Explanation for Image Classification.
User: vaynexie
lime,A library for drawing graphics on the console screen
User: wooster0
Home Page: https://r00ster91.github.io/lime/
lime,Interpretable Machine Learning for COVID-19
User: wuhanstudio
Home Page: https://arxiv.org/abs/2010.02006
lime,A Python, Boto3 script that leverages a forensic volume to attach & mount to a selected instance, run a memory dump, unmount and detach from the selected instance and finally attach & mount to a Forensic Workstation
User: wv8672
lime,Implementation of LIME focused on producing user-centric local explanations for image classifiers.
Organization: xai-demonstrator
Home Page: https://visualime.readthedocs.io/
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