Projects in Awesome Lists tagged with automated-machine-learning

https://github.com/microsoft/nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow

Last synced: 24 Jan 2025

https://github.com/Microsoft/nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

automated-machine-learning automl bayesian-optimization data-science deep-learning deep-neural-network distributed feature-engineering hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms mlops model-compression nas neural-architecture-search neural-network python pytorch tensorflow

Last synced: 18 Apr 2025

https://github.com/epistasislab/tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833

Last synced: 12 May 2025

https://github.com/EpistasisLab/tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833

Last synced: 14 Mar 2025

https://epistasislab.github.io/tpot/

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization machine-learning model-selection nia parameter-tuning python random-forest scikit-learn u01ag066833

Last synced: 05 May 2025

https://github.com/keras-team/autokeras

AutoML library for deep learning

autodl automated-machine-learning automl deep-learning keras machine-learning neural-architecture-search python tensorflow

Last synced: 12 May 2025

https://github.com/autogluon/autogluon

Fast and Accurate ML in 3 Lines of Code

autogluon automated-machine-learning automl computer-vision data-science deep-learning ensemble-learning forecasting gluon hyperparameter-optimization machine-learning natural-language-processing object-detection python pytorch scikit-learn structured-data tabular-data time-series transfer-learning

Last synced: 12 May 2025

https://github.com/awslabs/autogluon

Fast and Accurate ML in 3 Lines of Code

autogluon automated-machine-learning automl computer-vision data-science deep-learning ensemble-learning forecasting gluon hyperparameter-optimization machine-learning natural-language-processing object-detection python pytorch scikit-learn structured-data tabular-data time-series transfer-learning

Last synced: 05 Apr 2025

https://github.com/automl/auto-sklearn

Automated Machine Learning with scikit-learn

automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac

Last synced: 12 May 2025

https://automl.github.io/auto-sklearn/

Automated Machine Learning with scikit-learn

automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac

Last synced: 23 Feb 2025

https://github.com/alteryx/featuretools

An open source python library for automated feature engineering

automated-feature-engineering automated-machine-learning automl data-science feature-engineering machine-learning python scikit-learn

Last synced: 13 May 2025

https://github.com/microsoft/flaml

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

automated-machine-learning automl classification data-science deep-learning finetuning hyperparam hyperparameter-optimization jupyter-notebook machine-learning natural-language-generation natural-language-processing python random-forest regression scikit-learn tabular-data timeseries-forecasting tuning

Last synced: 13 May 2025

https://github.com/microsoft/FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

automated-machine-learning automl classification data-science deep-learning finetuning hyperparam hyperparameter-optimization jupyter-notebook machine-learning natural-language-generation natural-language-processing python random-forest regression scikit-learn tabular-data timeseries-forecasting tuning

Last synced: 15 Mar 2025

https://github.com/mljar/mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

automated-machine-learning automl automl-api automl-python catboost data-science decision-tree ensemble feature-engineering hyper-parameters hyperparameter-optimization lightgbm machine-learning mljar neural-network random-forest scikit-learn xgboost

Last synced: 12 May 2025

https://github.com/salesforce/transmogrifai

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

ai automated-machine-learning automl dsl einstein estimators feature-engineering features machine-learning ml pipelines salesforce scala spark sparkml structured-data transformations transformers transmogrification transmogrify

Last synced: 14 May 2025

https://github.com/salesforce/TransmogrifAI

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

ai automated-machine-learning automl dsl einstein estimators feature-engineering features machine-learning ml pipelines salesforce scala spark sparkml structured-data transformations transformers transmogrification transmogrify

Last synced: 26 Mar 2025

https://github.com/autoviml/autoviz

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

auto-sklearn automated-machine-learning automl automl-algorithms machine-learning python python3 scikit-learn tableau tpot visualization xgboost

Last synced: 14 May 2025

https://github.com/AutoViML/AutoViz

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

auto-sklearn automated-machine-learning automl automl-algorithms machine-learning python python3 scikit-learn tableau tpot visualization xgboost

Last synced: 15 Mar 2025

https://github.com/climbsrocks/auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

analytics artificial-intelligence automated-machine-learning automl data-science deep-learning deeplearning feature-engineering gradient-boosting hyperparameter-optimization keras lightgbm machine-learning machine-learning-library machine-learning-pipelines production-ready python scikit-learn tensorflow xgboost

Last synced: 14 May 2025

https://github.com/ClimbsRocks/auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

analytics artificial-intelligence automated-machine-learning automl data-science deep-learning deeplearning feature-engineering gradient-boosting hyperparameter-optimization keras lightgbm machine-learning machine-learning-library machine-learning-pipelines production-ready python scikit-learn tensorflow xgboost

Last synced: 07 Apr 2025

https://github.com/kakaobrain/fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

augmentation automated-machine-learning automl cnn computer-vision convolutional-neural-networks deep-learning distributed image-classification pytorch

Last synced: 16 May 2025

https://github.com/axelderomblay/mlbox

MLBox is a powerful Automated Machine Learning python library.

auto-ml automated-machine-learning automl classification data-science deep-learning distributed drift encoding kaggle keras lightgbm machine-learning optimization pipeline prediction preprocessing regression stacking xgboost

Last synced: 15 May 2025

https://github.com/AxeldeRomblay/MLBox

MLBox is a powerful Automated Machine Learning python library.

auto-ml automated-machine-learning automl classification data-science deep-learning distributed drift encoding kaggle keras lightgbm machine-learning optimization pipeline prediction preprocessing regression stacking xgboost

Last synced: 26 Apr 2025

https://github.com/sb-ai-lab/lightautoml

Fast and customizable framework for automatic ML model creation (AutoML)

automated-machine-learning automatic-machine-learning automl automl-algorithms binary-classification data-science kaggle lama machine-learning multiclass-classification nlp python regression

Last synced: 14 May 2025

https://github.com/liyanghart/hyperparameter-optimization-of-machine-learning-algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

artificial-neural-networks automated-machine-learning automl bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms machine-learning-optimization optimization particle-swarm-optimization python-examples python-samples random-forest random-search tuning-parameters

Last synced: 16 May 2025

https://github.com/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

artificial-neural-networks automated-machine-learning automl bayesian-optimization deep-learning genetic-algorithm grid-search hpo hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-algorithms machine-learning-optimization optimization particle-swarm-optimization python-examples python-samples random-forest random-search tuning-parameters

Last synced: 27 Apr 2025

https://github.com/reiinakano/xcessiv

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

automated-machine-learning data-science ensemble-learning hyperparameter-optimization machine-learning scikit-learn stacked-ensembles

Last synced: 15 May 2025

https://github.com/sb-ai-lab/LightAutoML

Fast and customizable framework for automatic ML model creation (AutoML)

automated-machine-learning automatic-machine-learning automl automl-algorithms binary-classification data-science kaggle lama machine-learning multiclass-classification nlp python regression

Last synced: 08 May 2025

https://github.com/DeepWisdom/AutoDL

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

ai artificial-intelligence autodl autodl-challenge automated-machine-learning automl big-data data-science deeplearning feature-engineering full-automl lightgbm machine-learning model-selection multi-label nas python pytorch resnet tensorflow

Last synced: 12 May 2025

https://github.com/deepwisdom/autodl

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

ai artificial-intelligence autodl autodl-challenge automated-machine-learning automl big-data data-science deeplearning feature-engineering full-automl lightgbm machine-learning model-selection multi-label nas python pytorch resnet tensorflow

Last synced: 15 May 2025

https://github.com/automl/SMAC3

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

algorithm-configuration automated-machine-learning automl bayesian-optimisation bayesian-optimization configuration gaussian-process hyperparameter-optimization hyperparameter-search hyperparameter-tuning random-forest

Last synced: 05 Apr 2025

https://github.com/sberbank-ai-lab/LightAutoML

LAMA - automatic model creation framework

automated-machine-learning automl blackbox classification data-science ensembling feature-engineering gradient-boosting kaggle lama linear-model model-selection multiclass nlp parameter-tuning pipeline pytorch regression stacking whitebox

Last synced: 27 Nov 2024

https://github.com/aimclub/FEDOT

Automated modeling and machine learning framework FEDOT

automated-machine-learning automation automl evolutionary-algorithms fedot genetic-programming hyperparameter-optimization machine-learning multimodality parameter-tuning structural-learning

Last synced: 18 Apr 2025

https://github.com/automl/HpBandSter

a distributed Hyperband implementation on Steroids

automated-machine-learning automl bayesian-optimization hyperparameter-optimization neural-architecture-search

Last synced: 18 Apr 2025

https://github.com/AutoViML/Auto_ViML

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

auto-viml autokeras automated-machine-learning automl automl-algorithms autosklearn machine-learning python python3 scikit-learn tpot xgboost

Last synced: 01 Apr 2025

https://github.com/autoviml/auto_viml

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

auto-viml autokeras automated-machine-learning automl automl-algorithms autosklearn machine-learning python python3 scikit-learn tpot xgboost

Last synced: 14 May 2025

https://github.com/simonblanke/hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost

Last synced: 14 May 2025

https://github.com/SimonBlanke/Hyperactive

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost

Last synced: 05 Apr 2025

https://github.com/microsoft/archai

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

automated-machine-learning automl darts deep-learning hyperparameter-optimization machine-learning model-compression nas neural-architecture-search petridish python pytorch

Last synced: 16 May 2025

https://github.com/ClimbsRocks/machineJS

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

auto-ml automated-machine-learning automl data-science data-scientists javascript javascript-library kaggle machine-learning machine-learning-algorithms machine-learning-library ml numerai scikit-learn

Last synced: 27 Nov 2024

https://github.com/climbsrocks/machinejs

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

auto-ml automated-machine-learning automl data-science data-scientists javascript javascript-library kaggle machine-learning machine-learning-algorithms machine-learning-library ml numerai scikit-learn

Last synced: 05 Apr 2025

https://github.com/IBM/lale

Library for Semi-Automated Data Science

artificial-intelligence automated-machine-learning automl data-science dataquality hyperparameter-optimization hyperparameter-search hyperparameter-tuning ibm-research ibm-research-ai interoperability machine-learning pipeline-testing pipeline-tests python scikit-learn

Last synced: 09 May 2025

https://github.com/ibm/lale

Library for Semi-Automated Data Science

artificial-intelligence automated-machine-learning automl data-science dataquality hyperparameter-optimization hyperparameter-search hyperparameter-tuning ibm-research ibm-research-ai interoperability machine-learning pipeline-testing pipeline-tests python scikit-learn

Last synced: 14 May 2025

https://github.com/AdrianAntico/RemixAutoML

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

automated-machine-learning automl catboost classification gpu-acceleration h2o lightgbm multiclass-classification panel-data r regression supervised-learning timeseries unsupervised-learning xgboost

Last synced: 14 Mar 2025

https://github.com/AdrianAntico/AutoQuant

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

automated-machine-learning automl catboost classification gpu-acceleration h2o lightgbm multiclass-classification panel-data r regression supervised-learning timeseries unsupervised-learning xgboost

Last synced: 26 Apr 2025

https://github.com/albumentations-team/autoalbument

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

augmentation automated-machine-learning automl computer-vision deep-learning image-augmentation machine-learning pytorch

Last synced: 07 Apr 2025

https://lge-arc-advancedai.github.io/auptimizer/

An automatic ML model optimization tool.

automated-machine-learning automl data-engineering data-science deep-learning hpo hyperparameter-optimization hyperparameter-tuning machine-learning neural-networks

Last synced: 01 Apr 2025

https://github.com/LGE-ARC-AdvancedAI/auptimizer

An automatic ML model optimization tool.

automated-machine-learning automl data-engineering data-science deep-learning hpo hyperparameter-optimization hyperparameter-tuning machine-learning neural-networks

Last synced: 08 May 2025

https://github.com/epistasislab/tpot2

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

adsp ag066833 aiml alzheimer alzheimers automated-machine-learning automation automl data-science feature-engineering gradient-boosting hyperparameter-optimization lm010098 machine-learning model-selection nia parameter-tuning python random-forest scikit-learn

Last synced: 09 Apr 2025

https://github.com/kakaobrain/autoclint

A specially designed light version of Fast AutoAugment

1st-place autocv-challenge autocv2-challenge autodl-challenge automated-machine-learning automl cnn computer-vision convolutional-neural-networks deep-learning fast-auto-augment image-classification pytorch

Last synced: 24 Apr 2025

https://github.com/datacanvasio/cooka

A lightweight and visual AutoML system

automated-feature-engineering automated-machine-learning automl data-science deep-learning hyperparameter-optimization machine-learning neural-network

Last synced: 14 Apr 2025

https://github.com/renato-umeton/automl-in-healthcare-review

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

automated-machine-learning automl deep-learning healthcare machine-learning

Last synced: 30 Jan 2025

https://github.com/DataCanvasIO/Cooka

A lightweight and visual AutoML system

automated-feature-engineering automated-machine-learning automl data-science deep-learning hyperparameter-optimization machine-learning neural-network

Last synced: 12 May 2025

https://github.com/giantcroc/featuretoolsonspark

A simplified version of featuretools for Spark

automated-feature-engineering automated-machine-learning automl deep-feature-synthesis feature-engineering featuretools machine-learning python spark

Last synced: 14 Feb 2025

https://github.com/oracle-samples/automlx

This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

ai automated-machine-learning automl automlx classification data-science explainability fairness fairness-ai hyperparameter-optimization interpretability machine-learning machine-learning-explainability mlx oracle python regression timeseries-forecasting tuning unsupervised-anomaly-detection

Last synced: 17 Mar 2025

https://github.com/kxsystems/automl

Automated Machine Learning Framework for kdb+

automated-machine-learning kdb machine-learning q

Last synced: 19 Feb 2025

https://github.com/yusugomori/conveyer

Machine Learning for everybody.

automated-machine-learning machine-learning python3

Last synced: 11 Apr 2025

https://github.com/yard1/hpbandster-sklearn

A scikit-learn wrapper for HpBandSter hyper parameter search.

automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-tuning machine-learning python scikit-learn sklearn

Last synced: 22 Apr 2025

https://github.com/climbsrocks/empythy

Automated NLP sentiment predictions- batteries included, or use your own data

automated-machine-learning batteries-included machine-learning machinelearning nlp nlp-library nlp-machine-learning nlp-sentiment-classifier sentiment sentiment-classification sentiment-classifier sentiment-predictions

Last synced: 06 May 2025

https://github.com/MindSetLib/Insolver

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

auto-ml automated-machine-learning automl bayesian-optimization data-science elyra elyra-community feature-engineering hyperparameter-optimization insurance insurance-claims insurance-company insurance-scoring insurance-team low-code machine-learning

Last synced: 27 Nov 2024

https://github.com/alteryx/featuretools_sql

Automated creation of EntitySets from relational data stored in SQL databases

automated-feature-engineering automated-machine-learning automl data-science feature-engineering featuretools machine-learning mysql postgres postgresql sql

Last synced: 17 Mar 2025

https://github.com/littlelittlecloud/auto-machinelearning

Provides easy API to create and train sweepable pipeline for ML.Net over a group of pre-defined paramaters and trainers

automated-machine-learning automl machine-learning machinelearning-csharp mlnet

Last synced: 23 Jun 2025

https://github.com/tslu1s/mlimputer

MLimputer: Missing Data Imputation Framework for Machine Learning

automated-machine-learning data-science imputation-algorithm imputation-methods imputation-optimizer machine-learning missing-data missing-data-handling missing-data-imputation null-imputation predictive-imputation python

Last synced: 22 Apr 2025

https://github.com/chasedehan/diaml

Semi-automated machine learning pipelines

automated-machine-learning data-science hyperparameter-tuning machine-learning modular pipeline sklearn tpot

Last synced: 11 Feb 2025

https://github.com/loaiabdalslam/aul

Automated Deep learning & Machine Learning in JavaScript, in browser locally or in node.

auto-ml automated automated-machine-learning brain-js deep-learning machine-learning tensorflow

Last synced: 14 Apr 2025

https://github.com/imoneoi/xrl-ppo

Automated & super fast PyTorch deep reinforcement learning platform for autonomous driving

automated-machine-learning autonomous-driving autonomous-vehicles deep-learning deep-reinforcement-learning ppo ppo-pytorch pytorch reinforcement-learning

Last synced: 16 Dec 2024

https://github.com/yzhao062/algs

An AutoML system for algorithm selection (model selection)

algorithm-selection auto-ml automated-machine-learning machine-learning model-selection python

Last synced: 20 Mar 2025

https://github.com/andrea-mosk/play-with-ml

A Machine Learning app created with Streamlit (https://www.streamlit.io/).

automated-machine-learning automated-processing dataset dataset-analysis machine-learning streamlit

Last synced: 22 Feb 2025

https://github.com/lennartpurucker/populationbasedqdo-posthocensembleselectionautoml

Repository for Reproducibility for the Paper: "Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML"

automated-machine-learning automl ensemble-learning ensembles machine-learning post-hoc-ensembles reproducibility

Last synced: 10 Apr 2025

https://github.com/lennartpurucker/cma-es-posthocensemblingautoml

Repository for Reproducibility for the Paper: "CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure".

automated-machine-learning automl ensemble-learning ensembles machine-learning post-hoc-ensembles reproducibility

Last synced: 12 Mar 2025

https://github.com/jadelhelm/autoprepad

Anomaly Detection Pipeline automates data preprocessing for unsupervised scenarios without labels.

anomalies anomalies-detection anomaly anomaly-detection anomalydetection automated automated-machine-learning data-quality machine-learning machine-learning-algorithms preprocessing preprocessing-data preprocessing-pipeline pyod python sklearn tabular

Last synced: 06 May 2025

https://github.com/jmaczan/csv-to-ml

🧌 Upload a CSV file and get an ML model

autodl automated-machine-learning automl chatgpt csv machine-learning ml nextjs openai-api tabular-data

Last synced: 18 Feb 2025

https://github.com/abhipatel35/automated-machine-learning-pipeline-for-iris-dataset-classification

Automated ML pipeline for Iris dataset classification using Decision Tree. Features PCA dimensionality reduction and standard scaling.

automated-machine-learning classsification data-preprocessing descision-tree dimentionality-reduction end-to-end-ml-workflows iris-dataset machine-learning-pipeline python random-forest scikit-learn

Last synced: 19 Feb 2025

https://github.com/amirlayegh/agentic-ablation

🧠 Automated neural network ablation studies using LLM agents and LangGraph. Systematically remove components, test performance, and gain insights into architecture importance through an intelligent multi-agent workflow.

ablation-study agentic-ai automated-machine-learning langgraph neural-network-training

Last synced: 25 Jun 2025

https://github.com/newking9088/real_estate_cost_estimation_and_property_recommendation

We've developed an intelligent real estate recommendation engine that achieves 95% accuracy in price predictions while personalizing property suggestions to individual preferences. By implementing the KNN algorithm, our system analyzes thousands of historical transactions to determine recommendation properties

automated-machine-learning descriptive-analysis descriptive-statistics mlops-workflow predictive-modeling recommender-system

Last synced: 21 Apr 2025

https://github.com/sap-samples/flaml-samples

An introduction into automated machine learning, via the FLAML AutoML framework. A basic example, along with examples in SAP contexts are provided.

automated-machine-learning fedml machine-learning

Last synced: 05 Mar 2025

https://github.com/qetdr/xautoml-project1

Automated Machine Learning Framework for predicting drinking water quality

automated-machine-learning classification hpo hyperparameter-optimization model-testing python

Last synced: 26 Mar 2025

https://github.com/saadhaniftaj/ai-essayscore-automated-essay-scoring-using-lstm

AI-EssayScore is an automated essay scoring system using LSTM neural networks. It tokenizes and pads essays, processes them through an LSTM model, and predicts scores. The project includes data preprocessing, model training, evaluation, and saving the model for future use.

automated-machine-learning evaluation-metrics intro-to-ai lstm preprocessing-data

Last synced: 20 Mar 2025