automl-pipeline

There are 2 repositories under automl-pipeline topic.

upgini / upgini
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
data-science machine-learning scikit-learn python-library kaggle open-data public-data automl feature-engineering feature-extraction feature-selection features kaggle-solution data-enrichment automated-feature-engineering open-datasets automl-pipeline large-language-models chatgpt llm
Language:Python 291
UrbsLab / STREAMLINE
Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data
automl-pipeline binary-classification data-science data-visualization feature-selection imputation machine-learning model-application statistical-analysis supervised-learning
Language:Jupyter Notebook 58
PKU-DAIR / mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
python data-science automl-pipeline automl-algorithms blackbox-optimization bayesian-optimization knobs-tuning hyper-parameter-optimization neural-architecture-search distributed-systems ensemble-learning meta-learning machine-learning deep-learning
Language:Python 47
david-thrower / cerebros-core-algorithm-alpha
The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.
accuracy automl deep-learning keras-tensorflow machine-learning mean-square-error neural-architecture-search tensorflow automl-algorithms automl-api automl-benchmark automl-experiments automl-pipeline automl-products hyperparameter-optimization keras neural-network python3 gpt llm
Language:Jupyter Notebook 27
TsLu1s / TSForecasting
TSForecasting - Automated Time Series Forecasting Framework
automl automl-pipeline data-science machine-learning automated-forecasting scikit-learn timeseries-forecasting automated-timeseries-forecasting timeseries timeseries-analysis xgboost forecasting autogluon catboost lightgbm
Language:Python 24
IBM / sail
Library for streaming data and incremental learning algorithms.
deep-learning incremental-learning machine-learning ml-pipelines ray distributed-computing automl-pipeline
Language:Python 18
TsLu1s / Atlantic
Atlantic - Automated Data Preprocessing Framework for Supervised Machine Learning
data-science machine-learning automl automl-pipeline feature-selection preprocessing-pipeline scikit-learn predictive-modeling predictive-maintenance data-preprocessing onehot-encoder automation label-encoder
Language:Python 11
jianzhnie / AutoTimm
Auto torch image models: train and evaluation
image-classification semi-supervised-learning automl-pipeline transfer-learning image-transformer pytorch pytorch-lightning self-supervised-learning timm
Language:Python 7
thompson0012 / PyEmits
Sugar candy for data scientist. Easy manipulation in time-series data analytics works.
python data-science machine-learning automl-pipeline framework time-series time-series-analysis forecasting etl-process etl-pipeline etl anomaly-detection
Language:Python 7
g0bel1n / TinyAutoML
TinyAutoML is a comprehensive Pipeline Classifier Project thought as a Scikit-learn plugin
automl-pipeline machine-learning scikit-learn
Language:Python 4
CleverInsight / predicteasy
Powerful AutoML toolkit
automl auto-feature-engineering auto-feature-selection auto-feature-extraction automl-pipeline ml-deployment
Language:Python 3
dinaabdulrasoul / Bank-Marketing-Campaigns-ML-Models
This project aims to create Machine Learning models using Azure's AutoML to find the best model that fits the data and Hypderdrive to find the best hyperparameters.
automl automl-pipeline azure-automl hyperdrive accuracy pipeline mlops
Language:Jupyter Notebook 2
EugenHotaj / daas
AutoML as a Service.
automl-pipeline automl-api automl machine-learning automated-machine-learning automl-algorithms automl-benchmark automl-products
Language:Python 2
eurobios-mews-labs / palma
automl automl-api automl-pipeline machine-learning python sklearn data-leakage drift-detection machine-learning-algorithms
Language:Python 2
zgornel / Kdautoml.jl
Knowledge-driven AutoML
artificial-intelligence automl automl-algorithms automl-pipeline knowledge-base
Language:Julia 2
blurred-machine / shrinkit
Shrinkit is a powerful GUI-based Python library designed for automating machine learning tasks. With its intuitive interface, Shrinkit simplifies the process of building, training, and evaluating machine learning models, making it accessible to users of all skill levels. Shrinkit is a No-code package which can be used as a GUI.
ai automl automl-algorithms automl-pipeline data-science gui gui-application machine-learning ml quickstart streamlit streamlit-webapp training visualization
Language:Python 1
fernandonieuwveldt / mlxops-pipeline
Automating the ML Training Lifecycle with MLxOPS
sklearn mlops automl-pipeline machine-learning data-science pipeline workflow
Language:Python 1
rdattafl / SNP-Data-Analysis-Project
A GitHub compiling the input data, Python and Jupyter Notebook scripts, and all relevant statistical outputs from running the AutoMLPipe-BC automated machine learning pipeline (from the Urbanowicz Lab - https://github.com/UrbsLab) on a large-scale single nucleotide polymorphism (SNP) dataset from patients with congenital heart disease (CHD)
single-nucleotide-polymorphisms congenital-heart-disease data-wrangling python-3 automl-pipeline machine-learning
Language:Jupyter Notebook 1
vxyagr / pintar.ai-automl
Auto Machine learning platform as seen on https://www.youtube.com/watch?v=JHJLLiMnz6A
automl automl-pipeline
Language:JavaScript 1
chollette / Azure-Machine-Learning-Bank-Marketing-Classification
This is a Bank Marketing Machine Learning Classification Project in fulfillment of the Udacity Azure ML Nanodegree. In this project, you will learn to utilize Azure Machine Learning Studio and Azure Python SDK to create classifier models from scratch. The files and documentation with experiment instructions needed for replicating the project is provided for you.
automl-pipeline scikit-learn bank-marketing-dataset hyperparameters azure hyperdrive classification-model
Language:Jupyter Notebook 0
sannlin9 / Projeto-Credit-Score
Projeto de criação de modelo de machine learning para score de credito, percorrendo todo o pipeline dos dados. Coleta, exploração, tratamento, limpeza, treino e deploy.
automl automl-pipeline credit-score deployment pycaret python streamlit
Language:Jupyter Notebook 0
ongaunjie1 / pycaret_automl_streamlit
Utilizes pycaret to automates machine learning workflows (Deployed at streamlit)
automl-pipeline pycaret-library python3 streamlit
Language:Jupyter Notebook

automl-pipeline

upgini / upgini

UrbsLab / STREAMLINE

PKU-DAIR / mindware

david-thrower / cerebros-core-algorithm-alpha

TsLu1s / TSForecasting

IBM / sail

TsLu1s / Atlantic

jianzhnie / AutoTimm

thompson0012 / PyEmits

g0bel1n / TinyAutoML

CleverInsight / predicteasy

dinaabdulrasoul / Bank-Marketing-Campaigns-ML-Models

EugenHotaj / daas

eurobios-mews-labs / palma

zgornel / Kdautoml.jl

blurred-machine / shrinkit

fernandonieuwveldt / mlxops-pipeline

rdattafl / SNP-Data-Analysis-Project

vxyagr / pintar.ai-automl

chollette / Azure-Machine-Learning-Bank-Marketing-Classification

sannlin9 / Projeto-Credit-Score

ongaunjie1 / pycaret_automl_streamlit