machine-learning-pipelines

There are 9 repositories under machine-learning-pipelines topic.

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
Language:Python 1654
yzhao062 / combo
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
machine-learning data-mining data-science ensemble-learning python model-combination aggregation pipeline-framework machine-learning-pipelines
Language:Python 657
distributed-ml-patterns
terrytangyuan / distributed-ml-patterns
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
machine-learning distributed-systems cloud-computing cloud-native distributed-machine-learning large-scale-machine-learning python tensorflow kubernetes argo-workflows kubeflow machine-learning-pipelines manning-publications book data-science devops mlops argo
Language:Python 470
PacktWorkshops / The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science
datascience python regression binaryclassification random-forest clusteranalysis machine-learning hyperparameter-tuning-data-preparation feature-engineering dimensionality-reduction ensemble-learning-machine-learning-pipelines
Language:Jupyter Notebook 241
MLBazaar / MLPrimitives
Primitives for machine learning and data science.
machine-learning automl hyperparameter-tuning pipelines machine-learning-pipelines primitives
Language:Python 71
AlexIoannides / pipeliner
Machine learning pipelines for R.
machine-learning machine-learning-pipelines transform-functions r statistics data-science pipeline prediction workflow
Language:R 67
bmabey / provenance
Provenance and caching library for python functions, built for creating lightweight machine learning pipelines
python caching provenance machine-learning-pipelines
Language:Python 37
vchaparro / wind-power-forecasting
Wind Power Forecasting using Machine Learning techniques.
wind wind-power-forecasting energy forecasting kedro machine-learning-pipelines pipelines data-science-challenge mlflow-tracking-server svm knn random-forest mars ann
Language:Python 32
uzaymacar / exemplary-ml-pipeline
Exemplary, annotated machine learning pipeline for any tabular data problem.
machine-learning-pipelines h2o featuretools sklearn data-visualization data-cleaning data-imputation feature-engineering feature-scaling feature-selection feature-encoding modeling
Language:Jupyter Notebook 26
boschresearch / ExeKGLib
Python library for Executable Machine Learning Knowledge Graphs
data-science knowledge-graph-construction machine-learning machine-learning-pipelines python
Language:Python 20
awesome-mlops / awesome-mlops-kubernetes
A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes 🚀
deep-learning kubernetes machine-learning ml mlops operator dataops machine-learning-operations machine-learning-pipelines machine-learning-projects machine-learning-training machine-learning-workflow ml-pipeline ml-workbench model-management model-monitoring model-training orchestration workflow
19
lsjsj92 / kubeflow_example
kubeflow example
python python3 machine-learning deep-learning machine-learning-pipelines kubeflow kubeflow-pipelines dockerfile ml mlops
Language:Python 19
PERSIMUNE / explainer
ExplaineR is an R package built for enhanced interpretation of classification and regression models based on SHAP method and interactive visualizations with unique functionalities so please feel free to check it out, See ExplaineR paper at doi:10.1093/bioadv/vbae049
ai explainability explainable-ai machine-learning statistics interpretability shap classification regression clinical-research cran ai-pipeline ai-tools machine-learning-pipelines ml-tools
Language:R 19
charumakhijani / spark-ml-deployment
spark ml-deployment batch-prediction ml-production machine-learning-pipelines
Language:Jupyter Notebook 11
Ezzaldin97 / Batch-Serving-ML-Pipeline
create a robust, simple, effecient, and modern end to end ML Batch Serving Pipeline Using set of modern open-source/free Platforms/Tools
batch-processing data-version-control experiment-tracking forecasting machine-learning machine-learning-application machine-learning-pipelines mlops model-monitoring scheduling
Language:Python 10
simplybusiness / code-first-pipelines
A code-first way to define Ploomber pipelines
data-pipelines machine-learning-pipelines ploomber
Language:Python 7
aravind-selvam / ml-pipeline-using-stroke-data
This project demonstrates the implementation of a ML pipeline and CI/CD using data on heart strokes. The pipeline includes data preprocessing, model training and evaluation, and deployment. The project leverages GitHub for version control and integration with GitHub actions for efficient and automated model updates.
cicd machine-learning machine-learning-pipelines ml-pipeline
Language:Jupyter Notebook 5
dphot / app
Análise Avançada de Intervenção para Ansiedade com SHAP
llms-reasoning anxiety-intervention data-visualization explainability feature-importance machine-learning-pipelines shap-values
Language:Jupyter Notebook 4
gperakis / Sentiment-Analysis-On-Customer-Reviews
Sentiment analysis on customer reviews using machine learning and python
sentiment-analysis machine-learning glove-embeddings classification-report python3 python text-analytics machine-learning-pipelines
Language:Python 4
guiferviz / recipipe
Improved pipelines for data science projects.
data-science preprocessing machine-learning sklearn machine-learning-pipelines pipeline
Language:Python 4
PERSIMUNE / MAIT
Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses
artificial-intelligence bioinformatics interpretability machine-learning statistical-analysis conformal-prediction explainable-ai regression-models statistics survival-prediction calibration uncertainty-quantification classification confidence-intervals medical-application ai-pipeline machine-learning-pipelines ai-tools ml-tools
Language:HTML 4
vadimkantorov / tritonserverstringproc
Example string processing pipeline on Triton Inference Server
machine-learning-pipelines python triton-inference-server
Language:Python 4
ZIYU-DEEP / Predicting-Terrorist-Attack-Using-Machine-Learning
This project provides a machine learning pipeline to predict terrorist attack.
terrorist-attacks machine-learning-pipelines rnn-pytorch
Language:Jupyter Notebook 4
aNdr3W03 / Stroke-Disease-Detection
Machine Learning Operations - Stroke Disease Detection
dicoding docker machine-learning machine-learning-pipelines python tensorflow tensorflow-serving tfma tfx tfxpipelines tensorflow-extendend prometheus
Language:Jupyter Notebook 3
ObinnaIheanachor / Disaster-Response
This repository contains project files for a Flask app that classifies disaster messages into relevant categories.
udacity-nanodegree python flask plotly disaster-response nlp machine-learning-pipelines
Language:Jupyter Notebook 3
aNdr3W03 / Disaster-Tweets-Classification
Machine Learning Operations - Disaster Tweets Classification
dicoding docker machine-learning machine-learning-pipelines nlp python tensorflow tensorflow-serving tfxpipelines tfma tensorflow-extended tfx
Language:Jupyter Notebook 2
ezekielolugbami / ml_pipeline_from_scratch
Building machine learning pipelines with procedural programming, custom-pipeline or third-party code using the titanic data set from Kaggle
machine-learning python learning machine-learning-models-deployment kaggle machine-learning-pipelines pipelines
Language:Python 2
Fengjun-Wang / IJCAI-17-customer-flow-forecasts
Predict the customer flow (user payments) per day during the next 14 days for each shop on Koubei.com. Top 5% ranking solution for a Tianchi big data competition.
time-series xgboost iterative-methods directive visualization machine-learning-pipelines
Language:Jupyter Notebook 2
ManarAlharbi / DSND-Term2-Disaster_Response_Pipeline
Create a machine learning pipeline, that categorizes disaster events.
disaster-response-pipeline categorizes-disaster-events data-engineering udacity-data-science-nanodegree python jupyter-notebook sqlite sqlalchemy machine-learning machine-learning-pipelines extract-transform-load data-science nltk gridsearchcv data-pipelines ide integrated-development-environment flask-webapp data-cleaning-pipeline natural-language-processing
Language:Jupyter Notebook 2
OthmanMohammad / ML-AutoTrainer-Engine
ML AutoTrainer Engine, developed using Streamlit, is an advanced app designed to automate the machine learning workflow. It provides a user-friendly platform for data processing, model training, and prediction, enabling a seamless, code-free interaction for machine learning tasks.
auto-ml machine-learning-pipelines python streamlit web-app
Language:Python 2
pregismond / build-ml-pipeline-airfoil-noise-prediction
Build a Machine Learning Pipeline for Airfoil Noise Prediction
coursera ibm-skills-network python apache-spark machine-learning machine-learning-pipelines sparkml
Language:Jupyter Notebook 2
suryanshyaknow / APS-fault-detection
based on the befitting sensors fetched data, prediction is to be made whether the failure in a vehicle is due to APS or some other component. Emphasis is on reducing the consequential cost by reducing the false positives and false negatives and more importantly false negatives as it appears cost incurred due to them is 50 times higher.
machine-learning ec2-instance machine-learning-pipelines machine-learning-project sensors-data airflow aws python
Language:Python 2
ahmadalsharef994 / time-series-mlops-pipeline
A complete MLOps pipeline for time-series forecasting, integrating model training, evaluation, and deployment using modern tools like Docker and MLFlow.
docker machine-learning-pipelines mlops python time-series-forecasting
Language:Python 1
IstariRobotics / egohub
An end-to-end toolkit for ingesting, normalizing, and processing diverse egocentric datasets for humanoid robotics research. It provides a flexible pipeline for converting multiple data formats into a unified canonical schema, enriching them with features like object detection, training toolsets and visualizations.
computer-vision data-processing egocentric-vision humanoid-robotics humanoid-robots machine-learning machine-learning-pipelines robotics egocentric-robotics
Language:Python 1
Seymagocmez / star-classifier-kedro-pipeline
A modular and reproducible Random Forest pipeline (built on Kedro) for high-fidelity variable star classification, strategically utilizing synthetic data augmentation.
astroinformatics astronomy astrophysics data-augmentation kedro machine-learning machine-learning-pipelines random-forest-classifier synthetic-dataset-generation tess manual-data-labeling open-star-clusters
Language:Python 1
UjjwalSaini07 / Smart-Product-Pricing-Challenge-ML2025
🚀 Smart Product Pricing Challenge (Amazon ML Hackathon 2025) AI-powered multimodal solution for optimal product price prediction using text, image, and tabular data. Built with SBERT, ResNet50, and LightGBM + Ridge stacking, with GPU acceleration.
ai-pricing-model amazon-ml-hackathon computer-vision deep-learning ecommerce-automation ecommerce-ml feature-engineering machine-learning-pipelines multimodal-ml online-marketplaces product-pricing resnet50 sbert scalable-ml
Language:Python 1

machine-learning-pipelines

ClimbsRocks / auto_ml

yzhao062 / combo

terrytangyuan / distributed-ml-patterns

PacktWorkshops / The-Data-Science-Workshop

MLBazaar / MLPrimitives

AlexIoannides / pipeliner

bmabey / provenance

vchaparro / wind-power-forecasting

uzaymacar / exemplary-ml-pipeline

boschresearch / ExeKGLib

awesome-mlops / awesome-mlops-kubernetes

lsjsj92 / kubeflow_example

PERSIMUNE / explainer

charumakhijani / spark-ml-deployment

Ezzaldin97 / Batch-Serving-ML-Pipeline

simplybusiness / code-first-pipelines

aravind-selvam / ml-pipeline-using-stroke-data

dphot / app

gperakis / Sentiment-Analysis-On-Customer-Reviews

guiferviz / recipipe

PERSIMUNE / MAIT

vadimkantorov / tritonserverstringproc

ZIYU-DEEP / Predicting-Terrorist-Attack-Using-Machine-Learning

aNdr3W03 / Stroke-Disease-Detection

ObinnaIheanachor / Disaster-Response

aNdr3W03 / Disaster-Tweets-Classification

ezekielolugbami / ml_pipeline_from_scratch

Fengjun-Wang / IJCAI-17-customer-flow-forecasts

ManarAlharbi / DSND-Term2-Disaster_Response_Pipeline

OthmanMohammad / ML-AutoTrainer-Engine

pregismond / build-ml-pipeline-airfoil-noise-prediction

suryanshyaknow / APS-fault-detection

ahmadalsharef994 / time-series-mlops-pipeline

IstariRobotics / egohub

Seymagocmez / star-classifier-kedro-pipeline

UjjwalSaini07 / Smart-Product-Pricing-Challenge-ML2025