GitHub topics: ml-pipelines
Ark-kun/pipeline_components
Components that I have created for Kubeflow Pipelines. Try them in https://cloud-pipelines.net/pipeline-editor/
Language: Python - Size: 1020 KB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 14 - Forks: 4
whylabs/whylogs
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈
Language: Jupyter Notebook - Size: 181 MB - Last synced at: 9 days ago - Pushed at: 6 months ago - Stars: 2,730 - Forks: 127
souravlouha/ML_Practice_Studio
🧠A hands-on workspace for practicing machine learning concepts, data preprocessing, and experimenting with small ML projects. This repo includes foundational Python scripts, real-world mini-projects, and experiments that reflect a progressive learning journey in applied machine learning.
Language: Jupyter Notebook - Size: 417 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 3 - Forks: 0
sematic-ai/sematic
An open-source ML pipeline development platform
Language: Python - Size: 20.2 MB - Last synced at: 15 days ago - Pushed at: 6 months ago - Stars: 991 - Forks: 63
zetane/ZetaForge
Open source AI platform for rapid development of advanced AI and AGI pipelines.
Language: Python - Size: 152 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 176 - Forks: 18
evidentlyai/ml_observability_course
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
Language: Jupyter Notebook - Size: 25.2 MB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 89 - Forks: 30
saurabh-kudesia/real-world-ai-projects
A collection of real-world machine learning and AI projects. Explore hands-on implementations of cutting-edge models, practical solutions, and techniques to tackle real-world challenges using AI.
Language: Jupyter Notebook - Size: 6.67 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 2 - Forks: 0
chrisliatas/dsnd-ml-pipeline
ML pipeline to categorize emergency messages based on the needs communicated by the sender.
Language: Jupyter Notebook - Size: 2.98 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 2 - Forks: 0
udellgroup/oboe
An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
Language: Python - Size: 325 MB - Last synced at: 26 days ago - Pushed at: over 3 years ago - Stars: 83 - Forks: 17
IBM/sail
Library for streaming data and incremental learning algorithms.
Language: Python - Size: 28.7 MB - Last synced at: 8 days ago - Pushed at: 2 months ago - Stars: 24 - Forks: 12
SeekAI-786/Electricity_Theft_Detection
Electricity theft is a major issue in regions like Karachi, where unauthorized consumption of electricity leads to significant losses for utility companies. This project provides a solution for detecting electricity theft using machine learning models. By analyzing various factors such as electricity usage, voltage fluctuations, and historical data
Language: Python - Size: 3.3 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
Shogun93/sematic
Platform to build resource-intensive pipelines with simple Python.
Language: Python - Size: 13.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
mixail0916/sematic
Platform to build resource-intensive pipelines with simple Python.
Language: Python - Size: 16.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
zacharyvunguyen/Production-Ready-ML-Pipeline-on-GCP-Baby-Weight-Prediction
In this project, I developed a completed Vertex and Kubeflow pipelines SDK to build and deploy an AutoML / BigQuery ML regression model for online predictions. Using this ML Pipeline, I was able to develop, deploy, and manage the production ML lifecycle efficiently and reliably.
Language: Jupyter Notebook - Size: 16.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
opctl/opctl
Free and open source automation platform
Language: Go - Size: 440 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 50 - Forks: 17
banzuzi-carioni/cross-border-electricity-flow-prediction
Serverless ML system to predict the direction and volume of electricity flows to and from the Netherlands and its energy transmission partners.
Language: Python - Size: 44 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 11 - Forks: 0
martynas-subonis/ml-workflows
Guide on how to structure and implement machine learning pipelines.
Language: Python - Size: 923 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
bodywork-ml/ml-pipeline-engineering
Best practices for engineering ML pipelines.
Language: Jupyter Notebook - Size: 244 KB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 37 - Forks: 9
mopechowski/mlops-case-study
Example solution of the MLOps Case Study covering both online and batch processing.
Language: Pkl - Size: 98.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
mbalcerzak/the-warsaw-project
Website built in JavaScript & React as a "blog" to document an ML pipeline I built for Apartment Price Scraping project
Language: Python - Size: 48.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1
msunda17/sml-project
Epic-Diffusion
Language: Python - Size: 383 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Fahlevi20/CI-CD-for-Machine-Learning-Github-Actions
Learning create CI-CD for Machine Learning Pipelines Github Actions
Language: Jupyter Notebook - Size: 4.51 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
ismailsimsek/StoreSalesTimeSeriesForecasting
Testing preprocessing capabilities of different ML libraries
Language: Python - Size: 111 KB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
oozdal/Mobile-Price-Classification-with-AWS-SageWaker
This project focuses on building end-to-end machine learning pipeline using AWS SageMaker to predict the price range of mobile phones based on their specifications, enhancing consumer decision-making and streamlining the development process.
Language: Jupyter Notebook - Size: 2.15 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Elkinmt19/airflow-master
This a repo that was created to learn more about Airflow and develop awesome data engineering projects. 🚀🚀
Language: Python - Size: 3.33 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 3
tbsraja/Personalized_Cancer_Treatment
Develop algorithms to classify genetic mutations based on clinical evidence (text).
Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
yvgupta03/Big_Data_Project_US-Airlines_Tweet_Processing_and_Analysis
Big data application of Machine Learning concepts for sentiment classification of US Airlines tweets. The focus is on the usage of pyspark libraries (ml-lib) on big data to solve a problem using Machine Learning algorithms and not about the choice of algorithm used in the ML model creation. It also involves data pre-processing using NLP techniques, cross-validation and parameter-grid builder.
Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
JZMNE/ML_Pipelines
This shows the machine learning pipeline for Regression, Classification and Clustering using Pycaret 3.0 on jupyter notebook
Size: 14.6 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
leosmerling-hopeit/fraud-poc
Fraud detection ML pipeline and serving POC using Dask and hopeit.engine. Project created with nbdev: https://www.fast.ai/2019/12/02/nbdev/
Language: Jupyter Notebook - Size: 8.06 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 4
SteliosGian/model-workflow Fork of udacity/nd0821-c2-build-model-workflow-starter
Course 2 project of the Udacity ML DevOps Nanodegree Program
Language: Python - Size: 5.81 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
prateeksawhney97/Disaster-Response-Pipeline
This Project is a part of Data Science Nanodegree Program by Udacity in collaboration with Figure Eight. The initial dataset contains pre-labelled tweet and messages from real-life disasters. The aim of this project is to build a Natural Language Processing tool that categorize messages.
Language: Jupyter Notebook - Size: 8.53 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 2
siddarthaThentu/Disaster-Response-Pipeline
A deployed machine learning model that has the capability to automatically classify the incoming disaster messages into related 36 categories. Project developed as a part of Udacity's Data Science Nanodegree program.
Language: Python - Size: 9.57 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
