openfl/openfl

An open source library for creative expression on the web, desktop, mobile and consoles. Inspired by the classic Flash and AIR APIs.

Language: Haxe - Size: 36.9 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1,997 - Forks: 458

JvanKatwijk/qt-dab

Qt-DAB, a general software DAB (DAB+) decoder with a (slight) focus on showing the signal

Language: C++ - Size: 555 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 322 - Forks: 61

pvnieo/Low-light-Image-Enhancement

Python implementation of two low-light image enhancement techniques via illumination map estimation

Language: Python - Size: 2.07 MB - Last synced at: about 7 hours ago - Pushed at: almost 3 years ago - Stars: 522 - Forks: 72

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.

Language: Jupyter Notebook - Size: 34.7 MB - Last synced at: 2 days ago - Pushed at: 11 months ago - Stars: 679 - Forks: 207

SirBleu/Intelligent-Analytics-Artificial-Neural-Networks

This repository contains my work and learnings from a class on Intelligent Analytics. It contains works on Percetrons, Support Vector Machines, Deep Learning methods, Dimensionality Reduction, Decision Trees, Ensemble methods and so much more. It's for my continous learning on the subject

Size: 1.95 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

MAIF/shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Language: Jupyter Notebook - Size: 61.8 MB - Last synced at: 6 days ago - Pushed at: 9 days ago - Stars: 2,881 - Forks: 346

cloudera/CML_AMP_Explainability_LIME_SHAP

Learn how to explain ML models using LIME and SHAP.

Language: Jupyter Notebook - Size: 4.65 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 24 - Forks: 11

Suraj-Encoding/LiveFace

👽 Face Liveness Detection 👽

Language: Python - Size: 39.3 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 1

Dependable-Intelligent-Systems-Lab/xwhy

Explaining black boxes with a SMILE: Statistical Mode-agnostic Interpretability with Local Explanations

Language: JavaScript - Size: 24.9 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 10 - Forks: 2

openfl/lime

A foundational Haxe framework for cross-platform development

Language: JavaScript - Size: 260 MB - Last synced at: 4 days ago - Pushed at: 20 days ago - Stars: 794 - Forks: 394

Funkin-Imaginative/imaginative.engine

Imaginative Engine is an Engine heavily inspired off of Codename and Psych's modding support and a bit of V-Slice too I suppose.

Language: Haxe - Size: 1.02 GB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 10 - Forks: 0

MAJigsaw77/extension-haptics

A Haxe/Lime extension that implements Haptic Feedback effects on Android and iOS Devices.

Language: Haxe - Size: 18.6 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 3 - Forks: 0

ChandanaThummala/Explainable-AI-for-Breast-Cancer-Prediction

Breast Cancer Classification with Explainable AI (SHAP, LIME, PDP)

Language: Jupyter Notebook - Size: 2.86 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

MeoMunDep/Lime

Auto do tasks, chekin, tap, buy boost, upgrade boost.

Language: Batchfile - Size: 926 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 14 - Forks: 1

anondo1969/SHAMSUL

Repository for the journal article 'SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction'

Language: Python - Size: 32 MB - Last synced at: 17 days ago - Pushed at: 26 days ago - Stars: 1 - Forks: 0

turgunbaevaa/machineLearningProject

A complete ML project that explores feature engineering, model training (Decision Tree, Random Forest, Gradient Boosting), and model interpretation using SHAP and LIME.

Language: Jupyter Notebook - Size: 4.54 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

Moder378/Thesis-Paper

✈ An amazing and well 🚁 structured repository dedicated 🚒 to managing organizing 🚢 and writing a high 🛸quality academic thesis paper 🚞 Perfect for undergraduates 🪀 postgraduates and researchers 🥌 aiming for excellence in 🏉 their final submission ⚽ structure chapters references 🏀 resources research ⛸ methodology 🥊 data analysis 🎽

Size: 2.93 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

AstraZeneca/awesome-shapley-value

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

Size: 622 KB - Last synced at: 21 days ago - Pushed at: almost 3 years ago - Stars: 150 - Forks: 12

Harsha2k3/predictive_maintenance_ML_Project

This project utilizes advanced data analysis and machine learning techniques to predict equipment failures before they occur. The goal is to detect anomalies and possible defects in equipment and processes to enable preemptive maintenance, thereby reducing downtime and costs.

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

openfl/lime-samples

Lime sample projects

Language: Haxe - Size: 7.53 MB - Last synced at: about 6 hours ago - Pushed at: 5 months ago - Stars: 14 - Forks: 11

MAJigsaw77/extension-iapcore

A Haxe/Lime extension that implements In-App Purchases (IAP) functionality for Android and iOS devices.

Language: Haxe - Size: 89.8 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

dylan-slack/Modeling-Uncertainty-Local-Explainability

Local explanations with uncertainty 💐!

Language: Python - Size: 7.57 MB - Last synced at: 1 day ago - Pushed at: almost 2 years ago - Stars: 40 - Forks: 15

takenet/lime-csharp

C# LIME protocol implementation

Language: C# - Size: 22.1 MB - Last synced at: about 7 hours ago - Pushed at: 3 months ago - Stars: 99 - Forks: 37

PaddlePaddle/InterpretDL

InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

Language: Python - Size: 32.6 MB - Last synced at: about 20 hours ago - Pushed at: 9 months ago - Stars: 251 - Forks: 40

cloudera/CML_AMP_Churn_Prediction

Build an scikit-learn model to predict churn using customer telco data.

Language: Jupyter Notebook - Size: 2.66 MB - Last synced at: 6 days ago - Pushed at: 6 months ago - Stars: 16 - Forks: 37

NYAN-x-CAT/LimeLogger

Simple C# Keylogger (Keyboard Layout)

Language: C# - Size: 23.4 KB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 63 - Forks: 29

franciellevargas/SELFAR

The SEntence-Level FActual Reasoning (SELFAR) is a new method to improve explainable fact-checking. It relies on fact extraction and verification by predicting the news source reliability and factuality (veracity) of news articles or claims at the sentence level, generating post-hoc explanations using SHAP/LIME and zero-shot prompts.

Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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

Language: Jupyter Notebook - Size: 91.1 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 15 - Forks: 2

Elpu7/limeclicker

A clicker game

Language: HTML - Size: 134 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

recikk/Lime-spammer

The BEST and FREE discord raid tool 🍋‍🟩

Language: Python - Size: 30.3 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

Daniel-Andarge/AiML-financial-fraud-detection-model

The Fraud Detection project aims to improve identification of fraudulent activities in e-commerce and banking by developing advanced machine learning models that analyze transaction data, employ feature engineering, and implement real-time monitoring for high accuracy fraud detection.

Language: Jupyter Notebook - Size: 7.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 2

bjam24/agh-machine-learning

This projects were made for the Machine Learning course at the AGH UST in 2024/2025. Obtained maximum grade 5.0.

Language: Jupyter Notebook - Size: 137 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Jackpot-Dev/Lime-Multitool

Lime Tool by ShellieKoala-EXE is a free, open-source multitool with over 50 powerful features. From Discord utilities and gift card generators to security tools, Lime Tool is built for those who want to take full control of the digital realm. Unleash its potential and get the upper hand in the virtual world.

Language: Python - Size: 159 KB - Last synced at: 19 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

Jiovanni-dump/xiaomi_lime_dump

Language: Vim Script - Size: 2.36 GB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

funkin-mid/mid-source

The source code from - VS Mid - a mod for Friday Night Funkin'!

Language: Haxe - Size: 352 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 2

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).

Language: Jupyter Notebook - Size: 3.4 MB - Last synced at: 19 days ago - Pushed at: about 2 years ago - Stars: 33 - Forks: 7

zokaityte/LIME-Explainability-Stability

Exploring perturbation stategies to improve LIME explanations stability.

Language: Python - Size: 408 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

dagiteferi/fraud-detection-models

This project aims to develop the detection of fraudulent transactions in e-commerce using advanced machine learning techniques.It involves data analysis, preprocessing, feature engineering, model building, and deployment.The project includes API with Flask, containerization with Docker, and dashboards with Dash .

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

LamineTourelab/Explainable-AI

In this repository you will fine explainability of machine learning models.

Size: 8.79 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0

Tosin-Wale/Intelligent-Analytics-Artificial-Neural-Networks

This repository contains my work and learnings from a class on Intelligent Analytics. It contains works on Percetrons, Support Vector Machines, Deep Learning methods, Dimensionality Reduction, Decision Trees, Ensemble methods and so much more. It's for my continous learning on the subject

Language: Jupyter Notebook - Size: 4.44 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

r3cik/LimeV2-FREE

Lime V2 Free is the BEST discord raid tool that is ALWAYS up to date | GETLIME.XYZ | DISCORD.GG/SPAMMING

Language: Python - Size: 49.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 12 - Forks: 0

d2gex/lbmstoolbox

A toolbox that integrates and provides various length-based methods for small-scale fisheries assessment, offering enhanced features.

Language: R - Size: 72.3 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

tahmidmir/Sentiment-Analysis-with-BERT-and-Explainable-AI-XAI-

This project includes a Jupyter Notebook that performs sentiment analysis using the BERT model, while also leveraging XAI (Explainable AI) techniques to make the model's results more transparent and easier to understand

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

rebathip/SLICE-Stabilized-LIME-for-Consistent-Explanations-for-Image-Classification

SLICE: Stabilized LIME for Consistent Explanations for Image Classification

Language: Python - Size: 1.14 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 1

TouradBaba/model_engineering

This repository hosts a machine learning tool for breast cancer classification, emphasizing model interpretability. It is deployed on Streamlit Cloud, with a PostgreSQL database for tracking results and data drift, and includes an automated retraining workflow.

Language: Jupyter Notebook - Size: 12.7 MB - Last synced at: 2 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 1

PrashantRanjan09/LIME-Text_Data

Using LIME (Local Interpretable Model-Agnostic Explanations) for text data

Language: Jupyter Notebook - Size: 847 KB - Last synced at: 4 months ago - Pushed at: almost 7 years ago - Stars: 7 - Forks: 1

pozirk/extension-admob Fork of HaxeExtension/extension-admob

A Haxe/Lime/NME extension for integrating Google AdMob on iOS and Android.

Language: Objective-C++ - Size: 127 MB - Last synced at: 10 days ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0

Ajay07pandey/Retail-sale-prediction-of-a-drug-store.

Developed an efficient system using Regression Techniques to empower retailers with profitable insights & maintain a competitive edge in the dynamic retail industry.

Language: Jupyter Notebook - Size: 47 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

R3CI/LimeV2-free

The BEST discord raid tool that is FREE atm

Language: Python - Size: 447 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 50 - Forks: 5

DuoLunarNetwork/Lime

Lime is a TurboWarp-based mobile kernel similar to Android.

Size: 7.81 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

SafwanAlselwi/LIME_SLR

Excel file used in the published SLR paper: Local interpretable model-agnostic explanation approach for medical imaging analysis: A systematic literature review

Size: 411 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

mi5hmash/LimebrellaSharp

Unpack, Pack & Resign files encrypted with the 1st version of "Lime" encryption.

Language: C# - Size: 6.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 28 - Forks: 2

bhavyagulati7/Explainable-AI

This repository focuses on Explainable AI techniques for explaining IOT attack detection models and image classification models.

Language: Jupyter Notebook - Size: 1.58 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

who-else-but-arjun/Ethos_Round2

This repository consists the source code for the image enhancement pipeline built during the second round of Ethos Hackathon at IIT Guwahati. This pipeline integrates SRCNN, LIME and DeblurGAN for the enhancement of low quality CCTV frames. Also integrates VGGface face recognition model.

Language: Jupyter Notebook - Size: 2.9 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 2

wooster0/lime

A library for drawing graphics on the console screen

Language: Crystal - Size: 125 KB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 32 - Forks: 2

fablue/lime-flutter

Lime client built using flutter

Language: Dart - Size: 1.28 MB - Last synced at: 7 days ago - Pushed at: almost 7 years ago - Stars: 376 - Forks: 119

deliprofesor/Income-Analytics-Interpretable-Machine-Learning-Model

This project predicts whether an individual earns more than 50K using the Adult Income dataset. A Random Forest model is trained and evaluated, with explanations provided through DALEX and LIME for feature importance and model transparency.

Language: R - Size: 626 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

MoshiurRahmanFaisal/Telco-Churn-Prediction-and-Explainability-with-AI

Language: Jupyter Notebook - Size: 2.63 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

prrao87/fine-grained-sentiment-app-streamlit

A LIME explainer app for fine-grained sentiment classification, written using Streamlit.

Language: Python - Size: 9.84 MB - Last synced at: 3 days ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 3

VsFreyaDevs/VsFreyaModNew

eeeeee

Language: Haxe - Size: 1.71 GB - Last synced at: 8 days ago - Pushed at: 6 months ago - Stars: 3 - Forks: 1

dvamsidhar2002/Pest-and-Insect-Detection

Pest and Insect Detection using Deep Learning.

Language: Python - Size: 730 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

XAI-Demonstrator/visualime

Implementation of LIME focused on producing user-centric local explanations for image classifiers.

Language: Python - Size: 152 KB - Last synced at: 13 days ago - Pushed at: 3 months ago - Stars: 6 - Forks: 1

arkanivasarkar/Enhancing-Drug-Safety-using-Explainable-AI

Improving drug safety prediction using Explainable AI

Language: Python - Size: 308 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 52.4 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 30 - Forks: 5

djoy4stem/tox_21_qsar

Descriptive analysis and QSAR modelling for tox_21 datasets

Language: Jupyter Notebook - Size: 15.5 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 1

TmLev/interpretable-ml 📦

Article on the interpretability of ML models

Language: Python - Size: 2.7 MB - Last synced at: 10 days ago - Pushed at: about 4 years ago - Stars: 4 - Forks: 2

tommartensen/tic

TIC is a library that acts as a Toolbox for Interpretability Comparison.

Language: Python - Size: 212 KB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

prrao87/fine-grained-sentiment-app

A Flask LIME explainer app for fine-grained sentiment classification.

Language: Python - Size: 14.8 MB - Last synced at: 3 days ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 7

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.

Language: Jupyter Notebook - Size: 5.17 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 6

navdeep-G/interpretable-ml

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

Language: Jupyter Notebook - Size: 84.4 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 21 - Forks: 8

ModelOriented/live

Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN

Language: R - Size: 8.46 MB - Last synced at: 24 days ago - Pushed at: almost 6 years ago - Stars: 35 - Forks: 5

CEBaBing/CEBaB

CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior

Language: Python - Size: 35.8 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 3

Dutta-SD/AggDetectApp

A web application that detects aggression and misogyny in text using BERT augmentation, sentiment analysis, XGBoost, TF-IDF vectorization, LIME explainability. [Paper accepted at ICON 2021]

Language: Python - Size: 597 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

shivshringare/xaiexemplar

Explaining Tele Assist System (TAS) workflow adaptations using LIME

Language: HTML - Size: 14 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

darshandodamani/KontrafaktischeErkl-rungzurAD-Masterarbeit

Repository for the Master's thesis on Enhancing Autonomous Driving Explainability: A Counterfactual Explanation Approach Using Deep Generative Models

Language: Python - Size: 1.45 GB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

marti5ini/CALIME

Causality-Aware Local Interpretable Model Agnostic Explanations

Language: Python - Size: 17.1 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 10 - Forks: 2

epfl-ml4ed/evaluating-explainers

Comparing 5 different XAI techniques (LIME, PermSHAP, KernelSHAP, DiCE, CEM) through quantitative metrics. Published at EDM 2022.

Language: PureBasic - Size: 6.15 MB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 15 - Forks: 2

MatiasRamirez7/Deep_Learning

Tema de Tesis: "Análisis de las características y elementos visuales de imágenes basado en Deep Learning para reconocer y predecir las emociones que transmite una imagen publicitaria."

Language: Jupyter Notebook - Size: 2.17 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

deekshaa4/XAI-Driven-EmissionModel

A machine learning project predicting vehicle CO2 emissions using Explainable AI (XAI) for smart city solutions.

Language: Jupyter Notebook - Size: 3.59 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

tariqshaban/disaster-classification-with-xai

A tool for classifying an image into a disaster type, utilizing Python

Language: Jupyter Notebook - Size: 662 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Purushothaman-natarajan/Under-water-sonar-image-classification

This repository explores the use of eXplainable AI (XAI) to interpret deep learning models in underwater SONAR image classification. We utilize transfer learning with CNN architectures like VGG16 and ResNet50, and apply LIME and SP-LIME for transparent model explanations.

Language: Jupyter Notebook - Size: 220 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

HROlive/Introduction-to-Explainable-Deep-Learning-on-Supercomputers

A solid foundational understanding of XAI, primarily emphasizing how XAI methodologies can expose latent biases in datasets and reveal valuable insights.

Language: Jupyter Notebook - Size: 60.7 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 1

ilhammorsalin/-LimeCoin-Official-Release-

Size: 1.95 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 177 - Forks: 0

PRECIOUS852/-LimeCoin-Latest-Version-

crypto

Size: 1.95 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 177 - Forks: 0

Akankshaaaa/dogBreedClassification

Classify Terrier dog breeds and explain the model predictions with Explainable AI

Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: 9 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Purushothaman-natarajan/eXplainable-AI-for-Image-Classification-on-Remote-Sensing

This repository provides the training codes to classify aerial images using a custom-built model (transfer learning with InceptionResNetV2 as the backbone) and explainers to explain the predictions with LIME and GradCAM on an interface that lets you upload or paste images for classification and see visual explanations.

Language: Jupyter Notebook - Size: 48.9 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

JorgeY26/CompendioSDR2024

Se realiza una recopilación de todos los archivos desarrollados y utilizados en cada una de las actividades realizadas a lo largo del semestre ABR-AGO2024 en la materia de Radio Definida por Software de la Carrera de Ingeniería en Telecomunicaciones de la Universidad Técnica del Norte

Language: Jupyter Notebook - Size: 101 MB - Last synced at: 8 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

meetpatel0963/TeleXGI

TeleXGI: Explainable Gastrointestinal Image Classification for TeleSurgery Systems

Language: Python - Size: 199 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

jovanneste/Underwater-Acoustics-XAI

Explainable AI for underwater acoustic models.

Language: Python - Size: 4.88 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

eclipsemode/React-sushi-server

server

Language: TypeScript - Size: 269 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

gitbharrat/delivery_time_nn

Developing delivery time estimation model using Neural Networks

Language: HTML - Size: 452 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

AngelWyvern/FNF-NewgroundsPort Fork of FunkinCrew/Funkin

A port of Friday Night Funkin' v0.2.8 made by rebuilding the code via reverse engineering.

Language: Haxe - Size: 630 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 41 - Forks: 19

AntMorais/yolime Fork of AlexeyAB/darknet

YOLIME - Visual explanations for a Darknet YOLOv4 model using LIME

Language: Jupyter Notebook - Size: 37.1 MB - Last synced at: 11 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 2

Ephrem-ETH/LocalXplain4TSC

Interpreting Black-Box Time Series Classifiers using Parameterised Event Primitives

Language: Jupyter Notebook - Size: 334 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

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

Language: Python - Size: 3.03 MB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 95 - Forks: 21

Silvano315/NLP-for-ChatGPT-Reviews

The main idea for this project is explore a Kaggle dataset about ChatGPT reviews using a NLP approach in order to apply ML models for score reviews predictions. I applied LIME algorithm to evaluate explainability to get text and features explanations. I realised a Docker container to set up a Django web application.

Language: Jupyter Notebook - Size: 20.6 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

vectorkoz/economic-presidential

Feature Engineering, Regression, Classification, Model Explanation. My 2 biggest projects exploring the link between economic indicators and U.S. presidential election results.

Language: Jupyter Notebook - Size: 32.3 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

AnxiousCodeGeek/heartAttack-modelEvaluation

Performed model evaluation using evaluation metrics such as accuracy, precision, recall, F1-score etc. Then model interpretation using feature importance, SHAP and LIME. Finally , evaluated model robustness and stability through techniques like bootstrapping or Monte Carlo simulations.

Language: Jupyter Notebook - Size: 491 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

GPUK79/data-science-portfolio

This repository contains the Python scripts that I have written and run to execute a series of analytic model developments using datasets taken from the book "The Elements of Statistical Elements" by Hastie, Tibshirani, Friedman

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hiteshK03/Product-review-classifier

Rate product reviews from 1 to 5

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