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Projects in Awesome Lists tagged with model-deployment

A curated list of projects in awesome lists tagged with model-deployment .

https://github.com/FedML-AI/FedML

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

ai-agent deep-learning distributed-training edge-ai federated-learning inference-engine machine-learning mlops model-deployment model-serving on-device-training

Last synced: 05 Nov 2024

https://github.com/fedml-ai/fedml

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

ai-agent deep-learning distributed-training edge-ai federated-learning inference-engine machine-learning mlops model-deployment model-serving on-device-training

Last synced: 06 Jan 2025

https://github.com/ShannonAI/service-streamer

Boosting your Web Services of Deep Learning Applications.

bert deep-learning model-deployment pytorch tensorflow web

Last synced: 04 Nov 2024

https://github.com/bentoml/yatai

Model Deployment at Scale on Kubernetes 🦄️

bentoml k8s kubernetes machine-learning mlops model-deployment model-serving

Last synced: 08 Jan 2025

https://github.com/bentoml/Yatai

Model Deployment at Scale on Kubernetes 🦄️

bentoml k8s kubernetes machine-learning mlops model-deployment model-serving

Last synced: 29 Oct 2024

https://github.com/nndeploy/nndeploy

nndeploy是一款模型端到端部署框架。以多端推理以及基于有向无环图模型部署为基础,致力为用户提供跨平台、简单易用、高性能的模型部署体验。

ascend easy-to-use hpc mnn model-deployment multi-inference openvino out-of-box-model parallel rknn tensorrt yolo

Last synced: 27 Oct 2024

https://github.com/truefoundry/cognita

Cognita by TrueFoundry - Framework for building modular, open source RAG applications for production.

ai deep-learning generative-ai llmops machine-learning mlops model-deployment python rag retrieval-augmented-generation typescript

Last synced: 06 Jan 2025

https://github.com/project-monai/monai-deploy-app-sdk

MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.

ai deep-learning deploy dicom healthcare image-processing machine-learning medical-imaging ml ml-infrastructure ml-platform mlops model-deployment model-serving monai pipeline python pytorch workflow

Last synced: 05 Jan 2025

https://github.com/abhijit-2592/model-server

gRPC server for hosting ML models trained on any framework in python

deep-neural-networks deployment model-deployment mxnet pytorch tensorflow

Last synced: 21 Dec 2024

https://github.com/ForestFlow/ForestFlow

ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.

h2o machine-learning model-deployment

Last synced: 09 Nov 2024

https://github.com/bentoml/ocr-as-a-service

Turn any OCR models into online inference API endpoint 🚀 🌖

ai-applications model-deployment model-serving ocr ocr-python

Last synced: 13 Nov 2024

https://github.com/bentoml/transformers-nlp-service

Online Inference API for NLP Transformer models - summarization, text classification, sentiment analysis and more

llm llmops mlops model-deployment model-inference-service model-serving nlp nlp-machine-learning online-inference transformer

Last synced: 13 Nov 2024

https://github.com/prabhuomkar/bitbeast

Experiments with Model Training, Deployment & Monitoring

machine-learning model-deployment model-monitoring model-training

Last synced: 16 Nov 2024

https://github.com/ml-libs/mlserve

mlserve turns your python models into RESTful API, serves web page with form generated to match your input data.

machine-learning mlserve model-deployment model-serving scikit-learn

Last synced: 14 Oct 2024

https://github.com/amadeusitgroup/cpmml

cPMML is C++ library for scoring machine learning models serialized with the Predictive Model Markup Language (PMML)

ai data-science machine-learning ml model-deployment model-scoring pmml

Last synced: 10 Nov 2024

https://github.com/animator/titus2

Titus 2 : Portable Format for Analytics (PFA) implementation for Python 3.4+

analytics inference inference-engine ml-engine model-deployment model-evaluation model-serving pfa pfa-standard pmml python scoring scoring-engine titus

Last synced: 28 Nov 2024

https://github.com/h2oai/mlops-dai-runtimes

Production ready templates for deploying Driverless AI (DAI) scorers. https://h2oai.github.io/dai-deployment-templates/

h2o h2oai machine-learning model-deployment model-server model-serving mojo

Last synced: 06 Nov 2024

https://github.com/bentoml/fraud-detection-model-serving

Online model serving with Fraud Detection model trained with XGBoost on IEEE-CIS dataset

ai-applications fraud-detection model-deployment model-serving

Last synced: 13 Nov 2024

https://github.com/koldim2001/factory_detection

Проект по созданию системы безопасности на предприятии, реализующей детектирование людей и автоматическую проверку наличия касок по изображениям с видеокамер

deep-learning detection faster-rcnn hardhat-detection model-deployment object-detection people-detection pytorch telegram-bot tensorboard-visualizations

Last synced: 10 Nov 2024

https://github.com/bentoml/diffusers-examples

API serving for your diffusers models

bentoml diffusers model-deployment model-serving

Last synced: 13 Nov 2024

https://github.com/pydatablog/fastapi-model-deployment

An example for deploying Tensorflow 2 models with Docker and Fast API

docker keras model-deployment rest-api tensorflow-tutorials tensorflow2

Last synced: 08 Nov 2024

https://github.com/sayamalt/water-quality-prediction

Successfully established a machine learning model which can predict whether any given water sample is potable or not, based on its set of various properties, to a considerably high level of accuracy.

classification-models data-visualization exploratory-data-analysis feature-engineering imbalanced-learning model-deployment outlier-treatment supervised-machine-learning

Last synced: 28 Dec 2024

https://github.com/sayamalt/company-bankruptcy-prediction

Successfully developed a machine learning model which can accurately predict whether a firm will become bankrupt or not, depending on various features such as net value growth rate, borrowing dependency, cash/total assets, etc.

binary-classification cicd-deployment cross-validation data-exploration-and-preprocessing data-visualization docker-container exploratory-data-analysis feature-engineering github-actions hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation

Last synced: 28 Dec 2024

https://github.com/tumftm/ea_battery_mdf

This repository provides a model deployment framework (MDF) for real-time lithium-ion battery model utilization in CAN-capable test benches. It can be used for the investigation of advanced battery management strategies in short- and long-term experimental studies.

battery-electric-vehicles lithium-ion-batteries model-deployment

Last synced: 11 Dec 2024

https://github.com/koldim2001/image_captioning

Генерация описаний к изображениям с помощью различных архитектур нейронных сетей

attention-mechanism captioning-images computer-vision image-captioning lstm model-deployment model-inference nlp soft-attention streamlit website word-embeddings

Last synced: 10 Nov 2024

https://github.com/algorithmiaio/algorithmia-modeldeployment-action

Algorithmia Github Action capable of running Jupyter notebooks to create the ML model, uploading the model and updating the algorithm at Algorithmia

algorithmia ci-cd githubaction-workflow githubactions machine-learning model-deployment model-serving

Last synced: 18 Dec 2024

https://github.com/sayamalt/stellar-classification---sloan-digital-sky-survey-17

Successfully established a machine learning model which can predict an appropriate stellar class, on the basis of a distinct set of spectral characteristics, to a substantially high level of accuracy.

cross-validation data-preprocessing data-visualization exploratory-data-analysis feature-engineering feature-scaling imbalanced-learning model-deployment model-evaluation model-training multiclass-classification supervised-machine-learning

Last synced: 28 Dec 2024

https://github.com/tataganesh/tf-serving-cnn-example

Basic example of Tensorflow Serving

model-deployment serving tensorflow-serving

Last synced: 18 Dec 2024

https://github.com/tugot17/fastapi-model-deployement

Template of simple API for machine learning models deployment

fastapi-template model-deployment

Last synced: 21 Nov 2024

https://github.com/sayamalt/health-insurance-claim-prediction

Successfully established a machine learning model which can estimate the net health insurance claim of an individual based on a set of characteristics of that individual to an appreciable level of accuracy.

exploratory-data-analysis feature-engineering feature-scaling machine-learning model-deployment regression-analysis regression-testing

Last synced: 28 Dec 2024

https://github.com/sayamalt/credit-card-fraud-detection

Established a machine learning model which can predict whether a credit card transaction is fraudulent or not to a significant level of accuracy.

classification feature-engineering machine-learning model-deployment supervised-machine-learning

Last synced: 28 Dec 2024

https://github.com/md-emon-hasan/bentoml

BentoML is a high-performance model serving framework it provides various scripts and configurations to help streamline and deployment process.

ai bentoml data-science ml-engineering mlops model-deployment model-serving

Last synced: 13 Nov 2024

https://github.com/kapooraryan/sentiment-analysis-twitter

🛩️This project is an interactive web application built using Streamlit for sentiment analysis of text data. It uses a pre-trained Naive Bayes classifier to predict the sentiment of a given text input. The application allows users to enter a text and get the predicted sentiment, whether it is negative, neutral, or positive.

kaggle model-deployment naive-bayes-classifier sentiment-analysis streamlit

Last synced: 12 Dec 2024

https://github.com/sayamalt/world-university-rating-prediction

Successfully established a machine learning model for predicting the global rating of a specific university based on a set of distinct features.

exploratory-data-analysis feature-engineering machine-learning model-deployment regression

Last synced: 28 Dec 2024

https://github.com/algorithmiaio/githubactions-modeldeployment-demo-algorithmiaalgo

Demo ML repository, using Algorithmia Model Deployment Github Action, to auto deploy on an algorithm hosted on Algorithmia

algorithmia ci-cd githubaction-workflow githubactions jupyter-notebook machine-learning model-deployment model-serving xgboost

Last synced: 18 Dec 2024

https://github.com/algorithmiaio/githubactions-modeldeployment-template

Template ML repository to get started with Algorithmia Model Deployment Github Action integration

algorithmia cicd github-actions inference machine-learning model-deployment model-serving

Last synced: 18 Dec 2024

https://github.com/amoghkori/google-ads-optimization

Advanced algorithm development for revenue maximization and enhanced conversion value in Google Ads expenditure, achieving a 15% increase in lead conversions while reducing costs

analystics data-cleaning data-modeling data-preprocessing data-visualization data-wrangling exploratory-data-analysis feature-engineering microsoft-excel model-deployment model-selection optimization-algorithms powerbi statistical-analysis

Last synced: 23 Nov 2024

https://github.com/rakibhhridoy/machinelearningwebappdeploy-flask

Developing a web app of machine learning model using flask is quite easy. One should have some basic knowledge in web development,not so much but quite a bit. It is just a introductory web app in flask classifying cat vs dog by deep learning model.

catvsdog catvsdog-classifier classification deep-learning flask flask-application html-css machine-learning model-deployment python web-application

Last synced: 25 Dec 2024

https://github.com/yash-kavaiya/30-days-llm-mastery-course

30-Days-LLM-Mastery-Course: A comprehensive, hands-on course diving deep into Large Language Models (LLMs). From foundational concepts to advanced techniques, learn to build, train, and deploy state-of-the-art language models.

attention-mechanism fine-tuning language-models llm model-deployment nlp pytorch transformers

Last synced: 09 Nov 2024

https://github.com/sayamalt/liver-cirrhosis-stage-prediction

Successfully established a machine learning model which can determine whether an individual is vulnerable to the Cirrhosis disease or not by predicting its corresponding stage based on a unique set of medical features such as Cholesterol, Prothrombin, etc. pertaining to that person.

exploratory-data-analysis feature-engineering hyperparameter-tuning model-deployment model-evaluation-metrics model-training multiclass-classification supervised-machine-learning

Last synced: 28 Dec 2024

https://github.com/sayamalt/black-friday-sales-prediction

Successfully established a machine learning regression model which can estimate the gross Black Friday sales for a particular customer, based on a distinct set of related and meaningful features, to a fair level of accuracy.

artificial-neural-networks data-visualization deep-learning exploratory-data-analysis feature-engineering machine-learning model-deployment model-training-and-evaluation regression-analysis regression-modelling regression-testing supervised-learning

Last synced: 28 Dec 2024

https://github.com/roland045/road_quality_measurement_analysis

Novel road quality measurement system for cost effective pavement monitoring, ML-based

azure data-analysis data-engineering data-science machine-learning mlops model-deployment python sql unsupervised-learning

Last synced: 24 Nov 2024

https://github.com/mpolinowski/i-know-flowers

Serve SKLearn Image Classifier using Flask & Docker

model-deployment python sklearn

Last synced: 30 Nov 2024

https://github.com/anilkumarteegala/loan-approved-or-not-model-deployment

This repo contains all the files required to deploy the loan approval app

heroku-deployment machine-learning model-deployment python3 random-forest

Last synced: 13 Nov 2024

https://github.com/adi3042/data_science

📊🚀 Explore the Data Science Universe! Unlock insights and master data skills with hands-on assignments spanning machine learning, visualization, and more. Your journey to becoming a data expert starts here! 🎯💡 DataScienceJourney

anomaly-detection big-data-processing classification clustering computer-vision data-cleaning-and-preprocessing data-visualization deep-learning dimensionality-reduction ensemble-learning exploratory-data-analysis feature-engineering machine-learning model-deployment model-selection-and-evaluation natural-language-processing regression-analysis statistical-analysis time-series-analysis-and-forecasting

Last synced: 30 Dec 2024

https://github.com/orhfusion/flight-ml-model

This project demonstrates the development and deployment of a machine learning model to predict flight ticket prices.

docker-image dockerfile machine-learning model-deployment

Last synced: 20 Dec 2024

https://github.com/rishikesh-jadhav/llm-and-rag-based-chat-application-with-alloydb-and-vertex-ai

This repository showcases an implementation of a chat application leveraging the power of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). By integrating AlloyDB and Vertex AI, the application delivers precise, contextually relevant responses to flight and airport inquiries.

alloydb chatbot generative-ai google-cloud-platform large-language-models model-deployment natural-language-processing retrieval-augmented-generation semantic-search user-interface vector-embedding-database vertex-ai

Last synced: 22 Nov 2024

https://github.com/jibbs1703/predicting-titanic-survivors

This project uses several machine learning models in predicting survivors of the titanic disaster of 1912. The best of the choice models is then saved and deployed to a simple web application that allows users input different features and get a survival/ no survival prediction.

classification-models data-cleaning data-visualization data-wrangling feature-engineering model-deployment predictive-modeling streamlit web-application

Last synced: 25 Nov 2024

https://github.com/jibbs1703/model-deployment-with-triton

This repository contains the steps in deploying/serving models in production using the Triton Inference Server.

docker etl model-deployment onnxruntime pytest triton-inference-server

Last synced: 25 Nov 2024

https://github.com/alessandroryo/imageclassifier-ml-cnn-transferlearning-deployment

Image classification project using machine learning, CNN, and transfer learning. Includes model training and deployment examples with TensorFlow Lite (TFLite), TensorFlow SavedModel, and TensorFlow.js (TFJS). This repository provides scripts, models, and deployment guides for easy integration.

cnn computer-vision deep-learning image-classification machine-learning model-deployment python savedmodel tensorflow tensorflow-js tflite transfer-learning

Last synced: 11 Oct 2024

https://github.com/jagadishmali567/robust-mlops-elevating-machine-learning-to-production-scale

This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.

aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml

Last synced: 11 Dec 2024

https://github.com/sayamalt/customer-churn-prediction

Successfully established a machine learning model which can predict whether any given customer currently utilizing the products and services offered by a company will churn at anytime in the future or not, depending upon a set of unique features/characteristics pertaining to that specific individual, to a great level of accuracy.

classification data-visualization exploratory-data-analysis feature-engineering hyperparameter-tuning model-deployment model-evaluation model-optimization model-training supervised-machine-learning

Last synced: 28 Dec 2024

https://github.com/sayamalt/taxi-trip-fare-prediction

Successfully created a machine learning model which can accurately predict the fare of a taxi trip based on several features such as trip duration, tip amount, etc.

cross-validation data-exploration-and-preprocessing data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-selection model-training-and-evaluation regression-modelling

Last synced: 28 Dec 2024

https://github.com/kwame-mintah/aws-lambda-model-deployment

A lambda to deploy a machine learning model inference via serverless. Will create a new model, endpoint configuration and serverless endpoint configuration within AWS SageMaker.

aws aws-lambda model-deployment python python311

Last synced: 05 Dec 2024

https://github.com/udhaya2823/cardheko-used_car_price_prediction

🚗 Car Dheko - Used Car Price Prediction This project enhances Car Dheko's customer experience by deploying an ML model that predicts used car prices accurately. Using a multi-city dataset, we perform data cleaning, feature engineering, and model optimization. The final model is hosted on a Streamlit app, providing instant price prediction.

data-cleaning-and-preprocessing documentation-and-reporting exploratory-data-analysis machine-learning-model-deployment model-deployment model-evaluation-and-optimization price-prediction-techniques streamlit-application-development

Last synced: 01 Jan 2025

https://github.com/jcm-ai/robust-mlops-elevating-machine-learning-to-production-scale

This project aims to address the challenge faced by the Office of Foreign Labor Certification in managing a high volume of job certification applications for employers seeking to hire foreign workers in the United States. By leveraging ML models, this project seeks to streamline the process of shortlisting visa applicants based on historical data.

aws-ec2 aws-ecr aws-s3 cicd-pipeline data-science docker-image end-to-end exploratory-data-analysis git github-actions html machine-learning-models mlops mlops-project model-deployment mongodb numpy pandas python yaml

Last synced: 02 Jan 2025

https://github.com/alexliap/sk_serve

Deployment of a Scikit-Learn model and it's column transformations made easy.

machine-learning mlops model-deployment scikit-learn

Last synced: 10 Oct 2024

https://github.com/algorithmiaio/githubactions-modeldeployment-demo-githubalgo

Demo ML repository, using Algorithmia Model Deployment Github Action, to auto deploy on an Algorithmia algorithm backed by Github

algorithmia ci-cd githubaction-workflow githubactions jupyter-notebook machine-learning model-deployment model-serving xgboost

Last synced: 18 Dec 2024

https://github.com/codex-0915/mlops-zoomcamp

This repository contains the notes, practice and sample outputs, homeworks, etc, from DataTalks.Club's MLOps Zoomcamp 2024 Cohort

machine-learning mlops model-deployment model-monitoring workflow-orchestration

Last synced: 26 Dec 2024

https://github.com/jibbs1703/loan-approval-prediction

This repository contains a Loan Approval Prediction Model. The model predicts the likelihood of loan approval based on applicant data. The model deployment is done using FastAPI to allow applicant data to be entered in order to obtain an approval prediction.

api-endpoints aws-ec2 aws-s3 classification-algorithm fastapi feature-engineering feature-selection loan-approval-prediction model-deployment model-training-and-evaluation

Last synced: 25 Nov 2024

https://github.com/rakibhhridoy/adockerimage-website

Dockerrzing a app,website is quite handy as in different hardware the software act differently. Containerizing a website can be a example of this. Making a docker-image is a must having skills in model deplouing stage in Data Science.

docker docker-container html model-deployment website

Last synced: 25 Dec 2024

https://github.com/sayamalt/e-commerce-text-classification

Successfully established a machine learning model that can accurately classify an e-commerce product into one of four categories, namely "Books", "Clothing & Accessories", "Household" and "Electronics", based on the product's description.

categorical-encoding cross-validation exploratory-data-analysis hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation text-classification text-preprocessing text-vectorization

Last synced: 28 Dec 2024

https://github.com/sayamalt/weather-prediction-using-machine-learning

Successfully developed a machine learning model which can accurately classify the weather based on various features pertaining to weather-related data and atmospheric conditions.

artificial-neural-networks cross-validation deep-learning exploratory-data-analysis feature-engineering hyperparameter-tuning model-deployment model-training-and-evaluation supervised-machine-learning

Last synced: 28 Dec 2024

https://github.com/sayamalt/flight-price-prediction

Successfully established a machine learning model to accurately predict the price of a flight in India based on several features such as duration, days left, arrival time, departure time and so on.

data-visualization exploratory-data-analysis feature-engineering hyperparameter-tuning machine-learning model-deployment model-training-and-evaluation regression-models

Last synced: 28 Dec 2024

https://github.com/sayamalt/superstore-sales-prediction

Successfully established a machine learning model that can accurately predict the sales of a superstore based on various features such as quantity, profit, discount, postal code, etc. The features are mainly associated with order details and customer demographics.

azure-machine-learning azure-web-app-service cicd-deployment cross-validation data-cleaning-and-preprocessing data-visualization exploratory-data-analysis feature-engineering github-actions-ci-cd hyperparameter-tuning machine-learning model-deployment model-retraining model-testing model-training-and-evaluation regression-models

Last synced: 28 Dec 2024

https://github.com/virajbhutada/music-recommendation-system

This project is designed to provide personalized music recommendations for relaxation and meditation. Leveraging ML and data analysis, the system suggests tracks based on user preferences such as tempo, energy, and genre. Join us in enhancing music discovery through advanced algorithms and community-driven contributions.

data-analysis data-science-projects data-visualization eda html machine-learning ml-algortihms model-deployment model-evaluation music-recommendation-system nlp pivot-table principal-component-analysis python python-library similarity-matrix spotify-data streamlit-web user-experience

Last synced: 11 Nov 2024

https://github.com/sayamalt/concrete-strength-prediction

Successfully developed a machine learning model which can accurately predict the strength of cement based on various features such as blast furnace slag, water, coarse aggregate, etc.

cross-validation data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation regression-models

Last synced: 28 Dec 2024

https://github.com/sayamalt/life-expectancy-prediction

Successfully established a machine learning model which can accurately predict the expected life duration of a human being based on several demographic features such as alcohol consumption per capita, average BMI of entire population, etc.

cross-validation data-cleaning-and-preprocessing data-visualization docker end-to-end-pipeline exploratory-data-analysis feature-engineering github-actions-workflow hyperparameter-tuning machine-learning model-deployment model-training-and-evaluation

Last synced: 28 Dec 2024

https://github.com/sayamalt/employee-attrition-prediction

Successfully established a machine learning model which can accurately predict whether an employee of a given company will leave it in the impending future or not, based on several employee details and employment metrics.

binary-classification continuous-deployment continuous-integration cross-validation data-exploration-and-preprocessing data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-training-and-evaluation

Last synced: 28 Dec 2024

https://github.com/sayamalt/credit-card-approval-prediction

Successfully developed a machine learning model which can accurately predict up to 100% accuracy whether a credit card application of a given applicant would be approved or not, based on several demographic features such as applicant age, total income, marital status, total years of work experience, etc.

binary-classification cicd-deployment cross-validation data-exploration-and-preprocessing data-visualization exploratory-data-analysis feature-engineering hyperparameter-optimization machine-learning model-deployment model-retraining model-selection model-testing model-training-and-evaluation

Last synced: 28 Dec 2024

https://github.com/virajbhutada/diamond-price-estimator

This project develops a predictive model to estimate diamond prices based on characteristics like carat, cut, color, and clarity. It covers data preprocessing, feature engineering, model selection, training, and evaluation. The final product is a web app where users can input diamond attributes to get accurate and instant price predictions.

cross-validation css data-analysis data-science-projects data-visualization eda feature-engineering html hyperparameter-tuning jupyter-notebooks machine-learning ml-algorithms model-deployment model-selection performance-optimization predictive-modeling python python-app user-interface

Last synced: 11 Nov 2024