Topic: "eli5"
swapagarwal/awesome-eli5
👶 Technical concepts explained in layman terms! git.io/eli5
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Hellisotherpeople/Active-Explainable-Classification
A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification
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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: 5 months ago - Pushed at: about 1 year ago - Stars: 15 - Forks: 2
fvinas/elih
ELIH: Explain Machine Learning predictions like I'm a human
Language: Python - Size: 544 KB - Last synced at: 6 days ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 2
AimVoma/Sentiment-Mining
Graduation Project - Sentiment Mining
Language: Python - Size: 31.3 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0
samalyarov/telegram_monitor
A telegram channel parser + binary text classifier utilizing a simple logistic regression model
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ksharma67/Heart-Failure-Prediction
This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.
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vincent27hugh/TextClassification-Logit-BOTopic
E-Commerce Comment Classification with Logistic Regression and LDA model
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GenaroNetwork/ELI5-Genaro
understand Genaro Network in 1 minute
Size: 1.26 MB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1
Silvano315/Wildfire_Prediction_with_Satellite_Images
This project aims to explore satellite image dataset in order to create a CNN model for wildfire prediction problem. Explainability with ELI5 and GradCAM could be an interesting integration to be tested.
Language: Jupyter Notebook - Size: 20.4 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
raymondj-pace/ML-Feature-Importance-with-SHAP-and-eli5
Machine Learning Feature-Importance Using SHAP and eli5
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josesousaribeiro/XAI-Benchmark
This is a repository for reproducibility purposes. In this research, a large number of datasets were used to create different ML models, which were then explained by XAI measures. Seeking to identify situations where XAI measures agreed or disagreed with each other.
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dhingratul/Learning-To-Represent-Text
Learning to represent text using Word2Vec
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dhingratul/How-Does-Word2Vec-Work
How does Word2Vec work ?
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Silvano315/Health-Insurance-Prediction
This repository aims to test some machine learning and ELI5 explainability technique in order to predict whether the customer would be interested in Vehicle insurance, you have information about demographics, vehicles, policy
Language: Jupyter Notebook - Size: 18.6 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
josesousaribeiro/eXirt-XAI-Pipeline
This is a repository for reproducibility purposes. In this research, a large number of datasets were used to create different ML models, which were then explained by XAI measures. Proposing a new measure of XAI called eXirt.
Language: Jupyter Notebook - Size: 207 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
vahadruya/Capstone_Regression_NYC_Taxi_Trip_Duration_Prediction
This project aims to predict the Taxi-trip duration within NYC based on several factors as predictors. Various combinations of relevant features are explored as iterations. After analysing the dataset, important and necessary features are selected. Several regression models are implemented & evaluated based on R2 & RMSE, & predictions visualised
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vedanty3/medify
Medify is a MERN stack app that predicts heart disease using machine learning. Patients can send their medical data to their doctors through the app.
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ThianHooi/gpt-eli5
A web app that allow user to ask ChatGpt to explain a topic
Language: TypeScript - Size: 82 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
jarred13/Deeplearning_and_Diabetes
Using Deep Learning and other Machine Learning models to predict if someone has diabetes
Language: Jupyter Notebook - Size: 1 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
akhilburle/ELI5-15-25
ELI5/15/25 Documentation Paradigm
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Datadolittle/modelinterpretability
Exploring feature contributions to outliers, feature importances, and image recognition features
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JoKerDii/Predicting-Airbnb-House-Price
A xgboost predictor of Los Angeles house price
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hosnaa/NLP_Gutenberg_Book_Classification
Classifying different books that are semantically close based on their name, then analyzing the misclassified segments by XAI
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makcfd/Social_studies_lab
Social studies lab dedicated to preferences between NA and EU in board games
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beatabb/Matrix_DW
na podstawie kursu "Matrix - poznaj reguły gry", stworzonego przez DataWorkshop
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maciej-zieniewicz/mushrooms_ml
Choosing strong features for classification purpose of edible and poisonous mushrooms.
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robs898/bongo
Here I attempt to explain complex ideas in a simple, concise way.
Size: 47.9 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0
pbar1/simplifier
:apple: Translate text to ELI5
Language: Go - Size: 18.6 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
dhingratul/Integer-To-k_ary-Encoder-Decoder
Binary to Decimal Encoder-Decoder using RNN with tensorflow
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wasifferoze/easy-tensorflow-eli5
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