lime
There are 333 repositories under lime topic.
MAIF/shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
openfl/openfl
An open source library for creative expression on the web, desktop, mobile and consoles. Inspired by the classic Flash and AIR APIs.
openfl/lime
A foundational Haxe framework for cross-platform development
jphall663/interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
pvnieo/Low-light-Image-Enhancement
Python implementation of two low-light image enhancement techniques via illumination map estimation
fablue/lime-flutter
Lime client built using flutter
JvanKatwijk/qt-dab
Qt-DAB, a general software DAB (DAB+) decoder with a (slight) focus on showing the signal
PaddlePaddle/InterpretDL
InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。
AstraZeneca/awesome-shapley-value
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
takenet/lime-csharp
C# LIME protocol implementation
emanuel-metzenthin/Lime-For-Time
Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
aeinrw/LIME
Implementation of the paper, "LIME: Low-Light Image Enhancement via Illumination Map Estimation", which is for my graduation thesis.
dylan-slack/Fooling-LIME-SHAP
Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
aflacc/ProjectFNF
ProjectFNF is a mostly quality-of-life engine for Friday Night Funkin. It is easy to understand and is super flexible.
nervous-inhuman/lime-scooter-reversing
Short overview over the components used by Lime Scooters fleet
NYAN-x-CAT/LimeLogger
Simple C# Keylogger (Keyboard Layout)
antonjan/gnuradio-grc-examples
This repository will have all my gnuradio exsamples
TannerGilbert/Model-Interpretation
Overview of different model interpretability libraries.
AngelWyvern/FNF-NewgroundsPort
A port of Friday Night Funkin' v0.2.8 made by rebuilding the code via reverse engineering.
dylan-slack/Modeling-Uncertainty-Local-Explainability
Local explanations with uncertainty 💐!
mi5hmash/LimebrellaSharp
Unpack, Pack & Resign files encrypted with the 1st version of "Lime" encryption.
ModelOriented/live
Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN
rascafr/9-analyzer
Segway Ninebot serial communication analyzer (ESCx such as Voi, Circ / Flash, Bolt, Dott, Jump, Tier...)
jaydeep-work/LIME-SAM
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).
marvinbuss/ExplainableML-Vision
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.
rehmanzafar/dlime_experiments
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).
cloudera/CML_AMP_Explainability_LIME_SHAP
Learn how to explain ML models using LIME and SHAP.
anurags25/FastAI-LIME
FastAI Model Interpretation with LIME
dbvis-ukon/ts-mule
Local Interpretable Model-Agnostic Explanations For Time Series Forecast Models
dmitrykazhdan/MARLeME
General-purpose library for extracting interpretable models from Multi-Agent Reinforcement Learning systems
navdeep-G/interpretable-ml
Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
stormbreaker-project/kernel_poco_citrus
Poco M3/Redmi 9T Global Kernel
cloudera/CML_AMP_Churn_Prediction
Build an scikit-learn model to predict churn using customer telco data.
epfl-ml4ed/evaluating-explainers
Comparing 5 different XAI techniques (LIME, PermSHAP, KernelSHAP, DiCE, CEM) through quantitative metrics. Published at EDM 2022.
akthammomani/Menara-App-Predict-House-Price-CA
Build a Web App called Menara to Predict, Forecast House Prices and search GreatSchools in California - Bay Area
AlexIoannides/lime-interpretable-ml
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.