eli5

There are 1 repository under eli5 topic.

swapagarwal / awesome-eli5
👶 Technical concepts explained in layman terms! git.io/eli5
awesome awesome-list eli5
397
Hellisotherpeople / Active-Explainable-Classification
A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification
active-learning document-classification document-classifier eli5 flair model-interpretability model-interpretation python sklearn word-embeddings
Language:HTML 29
Menara-App-Predict-House-Price-CA
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
machine-learning python neural-network sklearn time-series haversine-formula haversine-distance supervised-learning unsupervised-learning streamlit aws-ec2 eli5 lime shap deep-learning
Language:Jupyter Notebook 15
fvinas / elih
ELIH: Explain Machine Learning predictions like I'm a human
machine learning explanation eli5 xgboost sklearn
Language:Python 6
AimVoma / Sentiment-Mining
Graduation Project - Sentiment Mining
adaboost d2v eli5 elmo ensemble-model fasttext fine-tuning glove logistic-regression multinomial-naive-bayes nlp random-forest sentiment-classification sparse-vectors support-vector-machines t-sne w2v word-embeddings
Language:Python 3
GenaroNetwork / ELI5-Genaro
understand Genaro Network in 1 minute
eli5
3
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.
ciu cluster dalex eli5 model shap skater xai lofo
Language:Jupyter Notebook 3
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.
decision-trees eda logistic-regression numpy pandas python random-forest skit-learn sklearn xgboost auc-roc-curve auc-roc-score eli5 gridsearchcv lime seaborn shap lightgbm svm
Language:Jupyter Notebook 2
samalyarov / telegram_monitor
A telegram channel parser + binary text classifier utilizing a simple logistic regression model
binary-classification classifier-model logistic-regression sklearn telegram telegrambot-python text-classification nltk-python sklearn-library eli5 openpyxl parsing regular-expressions scikit-learn tqdm
Language:Jupyter Notebook 2
vincent27hugh / TextClassification-Logit-BOTopic
E-Commerce Comment Classification with Logistic Regression and LDA model
latent-dirichlet-allocation latent-semantic-analysis bag-of-features pyldavis eli5 sentiment-prediction
Language:Jupyter Notebook 2
aha
benthecoder / aha
explain anything
chrome-extension eli5 llama
Language:JavaScript 1
Datadolittle / modelinterpretability
Exploring feature contributions to outliers, feature importances, and image recognition features
machine-learning interpretability feature-extraction eli5
Language:Jupyter Notebook 1
dhingratul / How-Does-Word2Vec-Work
How does Word2Vec work ?
cbow eli5 jupyter-notebook presentation python3 skipgram word2vec
Language:Jupyter Notebook 1
dhingratul / Learning-To-Represent-Text
Learning to represent text using Word2Vec
cbow eli5 gensim gensim-word2vec skipgram word-vectors word2vec
Language:Jupyter Notebook 1
raymondj-pace / ML-Feature-Importance-with-SHAP-and-eli5
Machine Learning Feature-Importance Using SHAP and eli5
eli5 machine-learning machine-learning-algorithms shap
Language:Jupyter Notebook 1
shinho123 / Data-mining-project---stroke-prediction
2022년 1학기 개인 프로젝트 : 뇌졸증 환자 예측 모델·분석
eli5 feature-importance matplotlib numpy pandas seaborn sklearn statsmodels stroke-prediction imbalanced-dataset
Language:Jupyter Notebook 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.
classification cnn data-science deep-learning satellite-images wildfire-prevention eli5 transfer-learning
Language:Jupyter Notebook 1
akhilburle / ELI5-15-25
ELI5/15/25 Documentation Paradigm
convention documentation eli5 standards technical
0
dhingratul / Integer-To-k_ary-Encoder-Decoder
Binary to Decimal Encoder-Decoder using RNN with tensorflow
base-encoder bin2int binary decoder eli5 encoder encoder-decoder int2bin integer jupyter-notebook lstm python rnn tensorflow
Language:Jupyter Notebook 0
hosnaa / NLP_Gutenberg_Book_Classification
Classifying different books that are semantically close based on their name, then analyzing the misclassified segments by XAI
nlp natural-language-processing machine-learning text-classification text-processing tf-idf xai eli5 lime svm-classifier logistic-regression vectorization lemmatization scikit-learn
Language:Jupyter Notebook 0
jarred13 / Deeplearning_and_Diabetes
Using Deep Learning and other Machine Learning models to predict if someone has diabetes
classification deep-learning diabetes-prediction eli5 healthcare keras machine-learning machine-learning-explainability pandas seaborn tabular-data tensorflow
Language:Jupyter Notebook 0
JoKerDii / Predicting-Airbnb-House-Price
A xgboost predictor of Los Angeles house price
eli5 fastapi lime shap xgboost
Language:Jupyter Notebook 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.
ciu dalex eli5 explainable-ai lofo machine-learning shap skater xai exirt info-gain
Language:Jupyter Notebook 0
makcfd / Social_studies_lab
Social studies lab dedicated to preferences between NA and EU in board games
hypothesis-testing scraping bonferroni effect-size regression-models eli5
Language:Jupyter Notebook 0
pranaykankariya97 / Analyzing-TMDB-Dataset
The aim of the project is to analyze the TMDB Prediction Dataset.
python seaborn matplotlib plotly numpy pandas wordcloud eli5 tfidf-vectorizer linear-regression movies-dataset
Language:Jupyter Notebook 0
rgdavies92 / used-car-value
🚗 🚙 💰 Capstone ML project incorporating web scraping, regression modelling and novel use of the ELI5 package to obtain a used car value breakdown
machine-learning python web-scraping exploratory-data-analysis regression-algorithms gradient-boosting eli5
Language:Jupyter Notebook 0
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
anova-test chi-square-test decision-tree-regression eli5 folium geopandas lightgbm nyc-taxi-dataset pandas python regression sklearn stacking-ensemble xgboost
Language:Jupyter Notebook 0
beatabb / Matrix_DW
na podstawie kursu "Matrix - poznaj reguły gry", stworzonego przez DataWorkshop
dataworkshop machine-learning data-science datadotworld decision-tree-regression decision-tree kfold-cross-validation eli5 random-forest
Language:Jupyter Notebook
berlinbrown / nanoGPT-verbose-eli5
The simplest, fastest repository for training/finetuning medium-sized GPTs - Verbose Version for ELI5
eli5 llm nanogpt simple-project
Language:Python
maciej-zieniewicz / mushrooms_ml
Choosing strong features for classification purpose of edible and poisonous mushrooms.
ml classification eli5 random-forest pca
Language:Jupyter Notebook
pbar1 / simplifier
:apple: Translate text to ELI5
thesaurus eli5 words translate text
Language:Go
robs898 / bongo
Here I attempt to explain complex ideas in a simple, concise way.
eli5
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
data-science eda eli5 explainability health insurance machine-learning random-forest vehicle xgboost adasyn
Language:Jupyter Notebook
ThianHooi / gpt-eli5
A web app that allow user to ask ChatGpt to explain a topic
chatgpt eli5 nextjs t3-stack
Language:TypeScript
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.
decision-tree-classifier express gradient-boosting-classifier joblib jwt knn-classification logistic-regression machine-learning material-ui mern-stack mongodb nodejs nodemailer python react svm-classifier redux eli5 lime shape
Language:Jupyter Notebook
vkay616 / python-ELI5-library-example
eli5 machine-learning python
Language:Jupyter Notebook

eli5

swapagarwal / awesome-eli5

Hellisotherpeople / Active-Explainable-Classification

akthammomani / Menara-App-Predict-House-Price-CA

fvinas / elih

AimVoma / Sentiment-Mining

GenaroNetwork / ELI5-Genaro

josesousaribeiro / XAI-Benchmark

ksharma67 / Heart-Failure-Prediction

samalyarov / telegram_monitor

vincent27hugh / TextClassification-Logit-BOTopic

benthecoder / aha

Datadolittle / modelinterpretability

dhingratul / How-Does-Word2Vec-Work

dhingratul / Learning-To-Represent-Text

raymondj-pace / ML-Feature-Importance-with-SHAP-and-eli5

shinho123 / Data-mining-project---stroke-prediction

Silvano315 / Wildfire_Prediction_with_Satellite_Images

akhilburle / ELI5-15-25

dhingratul / Integer-To-k_ary-Encoder-Decoder

hosnaa / NLP_Gutenberg_Book_Classification

jarred13 / Deeplearning_and_Diabetes

JoKerDii / Predicting-Airbnb-House-Price

josesousaribeiro / eXirt-XAI-Pipeline

makcfd / Social_studies_lab

pranaykankariya97 / Analyzing-TMDB-Dataset

rgdavies92 / used-car-value

vahadruya / Capstone_Regression_NYC_Taxi_Trip_Duration_Prediction

beatabb / Matrix_DW

berlinbrown / nanoGPT-verbose-eli5

maciej-zieniewicz / mushrooms_ml

pbar1 / simplifier

robs898 / bongo

Silvano315 / Health-Insurance-Prediction

ThianHooi / gpt-eli5

vedanty3 / medify

vkay616 / python-ELI5-library-example