an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery
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Sep 22, 2025 - Python
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flaml
Here are 18 public repositories matching this topic...
A collection of practical machine learning projects and notebooks covering key topics like regression, classification, clustering and feature engineering.More projects and tutorials will be added regularly to help you learn and apply ML techniques.
python machine-learning clustering numpy sklearn regression pandas classification automl arima-forecasting pycaret h20automl evalml flaml
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Oct 8, 2025 - Jupyter Notebook
Binary Classification problem. Contains Classifiers from various AutoML libraries such as AutoGluon, FLAML, Lazypredict, & TPOT
machine-learning prediction classification binary-classification automl tpot automated-machine-learning autogluon lazypredict tpot-classifier flaml
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Dec 26, 2024 - Jupyter Notebook
Using machine learning to predict Goodreads ratings utilizing the Kedro framework. Includes EDA, rich feature engineering and data integration, model building with pipelines, and model comparison
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Mar 3, 2025 - Jupyter Notebook
A cutting-edge real-time AI-powered data analysis and machine learning platform that delivers instant insights through live progress updates, background processing, and intelligent automation. Built with modern web technologies and enterprise-grade infrastructure.
react python docker redis typescript monitoring websockets grafana prometheus minio celery automl postresql mlops fastapi flaml
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Sep 24, 2025 - TypeScript
Build your own Recommendation Systems !!!
python data-science machine-learning pandas artificial-intelligence recommendation-system automl ranking-algorithm regression-algorithms h2o-automl optuna mljar-supervised flaml
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Apr 21, 2022 - Jupyter Notebook
AutoML Libraries for training multiple ML models in one go with less code.
tpot auto-sklearn mljar h2o-automl transmogrifai auto-viml autogluon pycaret evalml hyperopt-sklearn auto-keras lightautoml flaml
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Jul 12, 2022 - Python
This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of gravelly soils. This model is developed using LightGBM and SHAP.
machine-learning lightgbm artficial-intelligence earthquake automl geotechnical-engineering explainable-artificial-intelligence earthquake-engineering liquefaction shap shear-waves gravel explainable-machine-learning shapley-additive-explanations lightgbm-classifier geotechnics flaml
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Jul 6, 2025 - Jupyter Notebook
Using FLAML to build a ML model for predicting University Admission chances
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Oct 4, 2024 - Jupyter Notebook
Autism Prediction in Adults
data-science machine-learning artificial-intelligence classification-algorithm autism-spectrum-disorder xgboost-algorithm optuna catboost-model lightgbm-models automl-algorithms flaml
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Jun 15, 2022 - Jupyter Notebook
Here, I will put Machine learning tasks which are done using Automated Machine Learning.
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Dec 24, 2023 - Jupyter Notebook
Best practices for solving Machine Learning Classification problems with advanced tools
python machine-learning sklearn xgboost classification lightgbm gradient-boosting-classifier catboost optuna flaml
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Apr 4, 2023 - Jupyter Notebook
ACAML is an Adaptive Constraint-Aware AutoML web app built with Streamlit. It automatically selects the best model for regression or classification tasks using FLAML, displays performance metrics, and provides SHAP-based feature explanations. Empower users to run and interpret ML models easily.
python machine-learning machine-learning-algorithms regression data-visualization classification data-analysis hyperparameter-tuning automl machine-learning-models feature-importance end-to-end-machine-learning applied-machine-learning shap model-interpretability ml-application flaml time-budget-ml user-friendly-ml
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May 31, 2025 - Python
2023 Columbia ADI Hackathon: Best Beginner Prize
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Mar 21, 2023 - Python
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Oct 6, 2021 - Jupyter Notebook
Upload your CSV and get instant insights — automated EDA with visualizations, missing value analysis, feature types, correlations, and more. Built for data scientists and non-tech users alike.
machine-learning plotly pandas data-visualization python3 data-analysis matplotlib-pyplot shap streamlit feature-analysis flaml automated-eda
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Aug 1, 2025 - Python
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