Topic: "machine-learning-pipelines"
ClimbsRocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
Language: Python - Size: 1.38 MB - Last synced at: 19 days ago - Pushed at: about 4 years ago - Stars: 1,644 - Forks: 312
yzhao062/combo
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
Language: Python - Size: 4.95 MB - Last synced at: 24 days ago - Pushed at: over 2 years ago - Stars: 648 - Forks: 106
terrytangyuan/distributed-ml-patterns
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
Language: Python - Size: 7.2 MB - Last synced at: 24 days ago - Pushed at: 2 months ago - Stars: 423 - Forks: 40
PacktWorkshops/The-Data-Science-Workshop
A New, Interactive Approach to Learning Data Science
Language: Jupyter Notebook - Size: 169 MB - Last synced at: 27 days ago - Pushed at: over 2 years ago - Stars: 226 - Forks: 218
MLBazaar/MLPrimitives
Primitives for machine learning and data science.
Language: Python - Size: 9.98 MB - Last synced at: 10 days ago - Pushed at: 5 months ago - Stars: 70 - Forks: 38
AlexIoannides/pipeliner 📦
Machine learning pipelines for R.
Language: R - Size: 98.6 KB - Last synced at: 22 days ago - Pushed at: over 8 years ago - Stars: 67 - Forks: 6
bmabey/provenance
Provenance and caching library for python functions, built for creating lightweight machine learning pipelines
Language: Python - Size: 503 KB - Last synced at: 13 days ago - Pushed at: over 4 years ago - Stars: 37 - Forks: 9
uzaymacar/exemplary-ml-pipeline
Exemplary, annotated machine learning pipeline for any tabular data problem.
Language: Jupyter Notebook - Size: 104 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 24 - Forks: 7
vchaparro/wind-power-forecasting
Wind Power Forecasting using Machine Learning techniques.
Language: Python - Size: 78.1 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 21 - Forks: 6
lsjsj92/kubeflow_example
kubeflow example
Language: Python - Size: 42 KB - Last synced at: 27 days ago - Pushed at: almost 4 years ago - Stars: 19 - Forks: 10
boschresearch/ExeKGLib
Python library for Executable Machine Learning Knowledge Graphs
Language: Python - Size: 3.59 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 13 - Forks: 3
charumakhijani/spark-ml-deployment
Language: Jupyter Notebook - Size: 855 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 10
simplybusiness/code-first-pipelines
A code-first way to define Ploomber pipelines
Language: Python - Size: 285 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0
ZIYU-DEEP/Predicting-Terrorist-Attack-Using-Machine-Learning
This project provides a machine learning pipeline to predict terrorist attack.
Language: Jupyter Notebook - Size: 170 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 4 - Forks: 8
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
Language: Python - Size: 1.67 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 1
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.
Language: Jupyter Notebook - Size: 4.03 MB - Last synced at: 27 days ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 2
guiferviz/recipipe
Improved pipelines for data science projects.
Language: Python - Size: 6.89 MB - Last synced at: 12 days ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 1
vadimkantorov/tritonserverstringproc
Example string processing pipeline on Triton Inference Server
Language: Python - Size: 67.4 KB - Last synced at: 24 days ago - Pushed at: 11 months ago - Stars: 3 - Forks: 1
aNdr3W03/Stroke-Disease-Detection
Machine Learning Operations - Stroke Disease Detection
Language: Jupyter Notebook - Size: 485 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
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.
Language: Python - Size: 319 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
aNdr3W03/Disaster-Tweets-Classification
Machine Learning Operations - Disaster Tweets Classification
Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
ObinnaIheanachor/Disaster-Response
This repository contains project files for a Flask app that classifies disaster messages into relevant categories.
Language: Jupyter Notebook - Size: 11.2 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
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.
Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1
gperakis/Sentiment-Analysis-On-Customer-Reviews
Sentiment analysis on customer reviews using machine learning and python
Language: Python - Size: 125 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 3
pregismond/build-ml-pipeline-airfoil-noise-prediction
Build a Machine Learning Pipeline for Airfoil Noise Prediction
Language: Jupyter Notebook - Size: 181 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
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
Language: Python - Size: 72.3 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1
jananiarunachalam/Machine-Learning-Engineer-Udacity
Udacity Nanodegree Exercises and Projects
Language: Jupyter Notebook - Size: 834 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 1
joshuayeung/Disaster-Response-Pipelines
Data Engineering Project of Udacity Data Scientist Nanodegree
Language: Python - Size: 60.6 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0
najmaelboutaheri/MortgageBackedSecuritiesPrediction
This repository contains the code and resources for a comprehensive case study on mortgage trading, designed to help Industrial/Organizational Economists understand the financial system, sharpen data modeling, and financial analysis skills, and experience the dynamic environment of a mortgage trading desk.
Language: Jupyter Notebook - Size: 21.1 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
mxagar/data_science_udacity
My personal notes, code and projects of the Udacity Data Science Nanodegree.
Language: Jupyter Notebook - Size: 32.6 MB - Last synced at: 23 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
suryanshyaknow/predictive-maintenance-regression-2.0
Although PdM revolves around detecting anomalies and possible defects before they happen, here, however, based on befitting predictors and machine failures, this project attempts to predict Air Temperature that in actuality is generated using random walk process, via a regression algorithm.
Language: Jupyter Notebook - Size: 6.43 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
furyhawk/sk_pipeline
sklearn pipeline
Language: Python - Size: 48.8 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
shantanu-dahitule/MLOpsBasics
Language: Python - Size: 211 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
AIoT-Group-UoP/crossai
An open-source Python library for processing and developing End-to-End AI pipelines for Time Series Analysis
Language: Jupyter Notebook - Size: 11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
Arslan-Mehmood1/Credit-Risk-Analysis-for-european-peer-to-peer-lending-firm-Bandora
Machine Learning pipelines are deployed to accomplish the objective of credit risk analysis.
Language: Python - Size: 3.49 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
sjord01/Image-Classification-Image-Validation
Machine learning framework using the MNIST dataset, which a set of 70,000 small images of digits handwritten by high school students and employees of the US Census Bureau.
Language: Jupyter Notebook - Size: 259 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
sjord01/Housing_Prediction
Machine Learning application of a of predicting housing values using regression task utilizing the SciKit-Learn extensions; the pipeline has various algorithms such as Linear Regression, Decision Trees, and Random Forests.
Language: Jupyter Notebook - Size: 907 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
suryanshyaknow/faulty-wafer-component-detection
data fetched by wafers (thin slices of semiconductors) is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not. Wafers are predominantly used to manufacture solar cells and are located at remote locations in bulk and they themselves consist of few hundreds of sensors.
Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1
Chinmaya-3141/Big-Data-with-MongoDB-and-PySpark
Project submission for BDSN Course at Praxis Business School
Language: Jupyter Notebook - Size: 2.14 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
anudeepvanjavakam1/disaster_response_NLP
This Project is part of Data Science Nanodegree Program by Udacity in collaboration with Figure Eight. The dataset contains pre-labelled tweet and messages from real-life disaster events. The project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.
Language: Jupyter Notebook - Size: 7.67 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
suryanshyaknow/wafer-fault-detection
data fetched by wafers (thin slices of semiconductors) is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not. Wafers are predominantly used to manufacture solar cells and are located at remote locations in bulk and they themselves consist of few hundreds of sensors.
Language: Jupyter Notebook - Size: 3.6 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
stgrmks/Gridsearch-on-Validation-Set
Sklearn compatible gridsearch based on a validation set.
Language: Python - Size: 31.3 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
bilalayaz2/Dockerized-Flask-Microservice-hosted-on-AWS-Elastic-Beanstalk-built-using-Machine-Learning-Pipeline
In this project I'm using machine learning Pipeline which is then made into a Flask Application which is then dockerized using docker and then the docker image is deployed on Amazon-Web-Services, Elastic Beanstalk.
Language: Python - Size: 14.6 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
vmalgi/DVC-ML-pipeline
In this repository, we build a DVC pipeline for a simple machine learning algorithm. The pipeline would load the data from a repository, split, train, and evaluate the data
Language: Python - Size: 29.3 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
RegaipKURT/ScikitLearnWithFUN
This repository shows the implementation of machine learning algorithms, data pipelines and data visualization with scikit-learn and python.
Language: Jupyter Notebook - Size: 6.63 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
nakshatrasinghh/CML_RedWineQuality
A continuous Machine Learning integration workflow using Github Actions. This project is based upon team collaboration for aesthetic version control for ML pipelines and deployement.
Language: Python - Size: 1.18 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
pranaysingh25/Titanic-Survival-Prediction
A basic classification model based on Random Forest Classifier predicting the Titanic Disaster Survival for a set of test data. Data Structure provided by Kaggle.
Language: Jupyter Notebook - Size: 237 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1
skalizzo/disaster_response_pipeline_project
Machine Learning Tool to categorize messages that have been send after a disaster
Language: Python - Size: 5.94 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
anuragkr29/TweetAnalysis
Work with a set of Tweets about US airlines and examine their sentiment polarity.The aim is to learn to classify Tweets as either “positive”, “neutral”, or “negative” by using two classifiers and pipelines for pre-processing and model building.
Language: Scala - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
