ml-pipeline

There are 1 repository under ml-pipeline topic.

sematic
sematic-ai / sematic
An open-source ML pipeline development platform
ai data-science machine-learning ml ml-ops ml-pipeline ml-pipelines mlops pipeline python python3
Language:Python 996
weboptout
alexjc / weboptout
Opt-Out tool to check Copyright reservations in a way that even machines can understand.
opt-out command-line-tool robots-txt webscraping terms-of-service ml-pipeline data-ops copyright
Language:Python 194
data-mining-in-action / DMIA_ProductionML_2021_Spring
Репозиторий направления Production ML, весна 2021
ci-cd deployment ml ml-pipeline production production-ml
53
hifxit / dataligo
A library to accelerate ML and ETL pipeline by connecting all data sources
database datalake datawarehouse etl-pipeline ml-pipeline nosql python
Language:Python 47
VevestaX
Vevesta / VevestaX
2 Lines of code to track ML experiments + EDA + check into Github
python3 computer-vision python machine-learning open-source data-science data-mining ai jupyter jupyter-notebook tabular-data spyder business-process mlops ml-pipeline ml-experiments ml-engineer mlops-workflow experiment-tracking mlflow
Language:Jupyter Notebook 29
awesome-mlops / awesome-ml-pipelines
A curated list of awesome open source tools and commercial products that will help you manage machine learning and data-science workflows and pipelines 🚀
aiops awesome awesome-list data-management data-science dataops datascience deep-learning machine-learning machine-learning-platform machine-learning-projects machine-learning-training ml-pipeline mlops model-management pipelines workflow
28
withsmilo / When-ML-pipeline-meets-Hydra
:cyclone:
ml-pipeline facebook-hydra machine-learning-systems
Language:Python 23
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
alperensumeroglu / ai-clips-maker
AI-powered tool to turn long videos into short, viral-ready clips. Combines transcription, speaker diarization, scene detection & 9:16 resizing — perfect for creators & smart automation.
audio-analysis automatic-speech-recognition deep-learning-pipelines face-tracking ffmpeg-python huggingface-pipelines media-processing ml-pipeline multimodal-ai openai-whisper pyannote-audio speaker-diarization temporal-segmentation video-scene-detection video-transcription ai-video-summarization nlp-video-analysis video-clip-generation video-resizing intelligent-video-editing
Language:Python 17
rflow
otaviog / rflow
RFlow - A workflow framework for agile machine learning
data-science machine-learning ml ml-infrastructure ml-pipeline productivity python workflow
Language:Python 17
rahul765 / Machine-Learning-Pipelines
From data gathering to model deployment. Complete ML pipeline using Docker, Airflow and Python.
machine-learning docker airflow ml-pipeline regression python sklearn airflow-docker tutorial tutorials
Language:Python 13
ziss11 / heart-failure-detection
Dicoding Submission MLOps Heart Failure Detection using ML Pipeline, Heroku Deployment and Prometheus Monitoring
ml-ops ml-pipeline python
Language:Python 11
ilias-chatzistefanidis / HetNets-steering
Repo containing Channel Quality Indicator (CQI) data from real car routes in Greece. It contains a reproducable notebook with the implementation of a Bidirectional LSTM Neural Network for real-time CQI forecasting in heterogeneous ultra-dense beyond-5G networks.
5g ai bidirectional-lstm cqi csi google-colab lstm lte ml ml-pipeline steering wifi deep-learning keras network oran traffic
Language:Jupyter Notebook 10
zamaniali1995 / ml-pipeline
Our goal with this ML pipeline template is to create a user friendly utility to drastically speed up the development and implementation of a machine learning model for all sorts of various problems.
ml pipeline data data-science iris ml-pipeline
Language:Python 10
dimikara / Optimizing-an-ML-Pipeline-in-Azure
Optimizing an ML Pipeline in Azure - A Machine Learning Engineer Project
azure azure-pipeline azure-ml-pipeline ml-pipeline azure-machine-learning-studio azure-machine-learning scikit-learn-pipelines machine-learning azure-ml-nanodegree
Language:Jupyter Notebook 7
LeoRigasaki / stock-market-prediction-engine
Advanced ML system for stock market prediction with real-time data and multiple algorithms
docker ensemble-learning fastapi feature-engineering hyperparameter-optimization lightgbm machine-learning ml-pipeline python quantitative-finance real-time-prediction risk-management stock-market-prediction streamlit trading-algorithms xgboost yfinance
Language:Python 6
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
bodywork-pipeline-utils
bodywork-ml / bodywork-pipeline-utils
A package of utilities for engineering ML pipelines.
aws machine-learning ml-pipeline mlops python
Language:Python 5
dieterich-lab / ASyH
The Anonymous Synthesizer for Health Data
anonymization synthetic-data ctgan gaussian-mixture-models ml-pipeline synthetic-dataset-generation variational-autoencoder synthetic-data-vault health-data
Language:Python 5
RenatoMaynard / Supervised-Machine-Learning-Models-Pytorch-Sklearn
This repository provides a comprehensive implementation of supervised machine learning models using PyTorch and Scikit-learn. It includes end-to-end workflows for both classification and regression tasks, covering data preprocessing, model training, evaluation, and comparison between traditional ML models
applied-machine-learning classification data-preprocessing deep-learning feature-engineering machine-learning ml-models ml-pipeline model-comparison model-evaluation python pytorch regression scikit-learn supervised-learning-algorithms
5
airscholar / astro-salesforecast
Building Realtime End to End Sales Forecasting ML Pipeline
forecasting ml-pipeline sales
Language:Python 4
piyush-singhal / airflow-docker
Install Airflow using docker
airflow docker-airflow workflow-management task-management ml-pipeline
Language:Python 4
ziss11 / fake-news-classification
Dicoding Submission MLOps Fake News Classification using ML Pipeline
deeplearning ml-pipeline nlp
Language:Jupyter Notebook 4
ArslanKAS / ML_pipeline
Machine Learning Project Pipeline
ml-pipeline pipeline
Language:Jupyter Notebook 3
Fatiima-Ezzahra / Operationalizing-Machine-Learning-in-Azure
This project is part of the Udacity Azure ML Nanodegree. In this project, we use Azure to configure a cloud-based machine learning production model, deploy it, and consume it. We also create, publish, and consume a pipeline.
automl azure azure-ml azure-ml-pipeline ml-pipeline ml-deployment swagger
Language:Jupyter Notebook 3
gershonc / mlflow_showcase
Showcase of MLflow capabilities
ml ai mlflow tracking-algorithm ml-infrastructure ml-engineering ml-pipeline model-deployment model-development model-testing
Language:Jupyter Notebook 3
jasmeetsb / airflow_ml_ops
Sample Airflow ML Pipelines
airflow ml-ops machine-learning tensorflow xgboost ml-pipeline cloud-composer
Language:Jupyter Notebook 3
nshutijean / DVC-Mlflow-pipeline
📅 A demo about versioning data and tracking ML experiments using DVC and Mlflow respectively.
dvc machine-learning ml-pipeline mlflow mlflow-dvc mlops mlops-workflow
Language:Jupyter Notebook 3
Vedang1801 / Smart-Career-Advisor
AI-powered career assistant with XGBoost ML model (78.14% accuracy) trained on 6K+ resume-job pairs. Features advanced NLP skill extraction, GPT-4 resume enhancement, and intelligent job matching with real-time predictions.
artificial-intelligence data-science job-matching machine-learning ml-pipeline nlp openai python3 spacy streamlit xgboost career-advisor resume-optimizer
Language:Jupyter Notebook 3
ashish-kamboj / mlops
Repository contains the detail about ML model deployment and building end-to-end ML pipeline for production
ml-pipeline ml-production mlflow mlops mlops-workflow apache-airflow onnx onnxruntime deepchecks evidentlyai fastapi flask flask-api aws aws-lambda boto3 dynamodb codepipeline reactjs azure
Language:Python 2
avrtt / CloudML-orchestrator
A cloud-based deployment and scaling for ML services (Docker, k8s, AWS S3/Lambda, Flask, GitHub Actions)
aws aws-lambda aws-s3 cicd cloud data-pipeline docker flask github-actions kubernetes ml-pipeline mlops orchestration serverless-functions xgboost
Language:Python 2
chris-chris / xmodel
Multi Cloud Model Management System for Machine Learning
deep-learning model model-management mlops devops machine-learning ml dl ml-pipeline dl-pipelines
Language:Python 2
MaxWolf-01 / sklearn-svm-classification-pipeline-api
A flask api for text-classification with sklearn pipelines.
docker flask-api ml-pipeline sklearn svm-classifier
Language:Python 2
NoahRuhmer / AMLS-Star-Galaxy-Classification
This project is a full machine learning pipeline for Star/Galaxy classification using the SDSS dataset. It also contains a detailed report on the development and a DockerFile to easily replicate the results.
binary-classification docker machine-learning ml-pipeline sdss
Language:TeX 2
sadiaTab / Disaster_Response_Pipeline
This project, in collaboration with Figure Eight as part of Udacity's Data Science Nanodegree program, focuses on real-time message categorization for disaster events. It involves an ETL pipeline, ML pipeline, and Web app for classifying disaster response messages.
data-science etl-pipeline ml-pipeline supervised-learning flask-application nlp
Language:Jupyter Notebook 2
vasnake / spark.ml.SpatialJoinTransformer
spark.ml.transformer: join two datasets using spatial relations
spark spark-ml transformer ml-pipeline spatial geospatial join scala python
Language:Scala 2

ml-pipeline

sematic-ai / sematic

alexjc / weboptout

data-mining-in-action / DMIA_ProductionML_2021_Spring

hifxit / dataligo

Vevesta / VevestaX

awesome-mlops / awesome-ml-pipelines

withsmilo / When-ML-pipeline-meets-Hydra

awesome-mlops / awesome-mlops-kubernetes

alperensumeroglu / ai-clips-maker

otaviog / rflow

rahul765 / Machine-Learning-Pipelines

ziss11 / heart-failure-detection

ilias-chatzistefanidis / HetNets-steering

zamaniali1995 / ml-pipeline

dimikara / Optimizing-an-ML-Pipeline-in-Azure

LeoRigasaki / stock-market-prediction-engine

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

bodywork-ml / bodywork-pipeline-utils

dieterich-lab / ASyH

RenatoMaynard / Supervised-Machine-Learning-Models-Pytorch-Sklearn

airscholar / astro-salesforecast

piyush-singhal / airflow-docker

ziss11 / fake-news-classification

ArslanKAS / ML_pipeline

Fatiima-Ezzahra / Operationalizing-Machine-Learning-in-Azure

gershonc / mlflow_showcase

jasmeetsb / airflow_ml_ops

nshutijean / DVC-Mlflow-pipeline

Vedang1801 / Smart-Career-Advisor

ashish-kamboj / mlops

avrtt / CloudML-orchestrator

chris-chris / xmodel

MaxWolf-01 / sklearn-svm-classification-pipeline-api

NoahRuhmer / AMLS-Star-Galaxy-Classification

sadiaTab / Disaster_Response_Pipeline

vasnake / spark.ml.SpatialJoinTransformer