ml-deployment
There are 34 repositories under ml-deployment topic.
cceyda/torchserve-dashboard
Management Dashboard for Torchserve
manhph2211/ml-deployment
Pushing Text To Speech models into production using torchserve, kubernetes and react web app :smile:
gasparian/ml-serving-template
Serving large ml models independently and asynchronously via message queue and kv-storage for communication with other services [EXPERIMENT]
HemanthJoseph/ML-Projects-with-Deployment
An end-to-end Machine Learning project from writing a Jupyter notebook to check the viability of the solution, to breaking down the same into modular code, creating a Flask web app integrated with a HTML template to make a website interface, and deploying on AWS and Azure.
koushikvikram/anomaly-detection-platform
🔥🔥🔥🔥🧊🔥🔥 A Data Platform for Monitoring and Detecting Anomalies in Real-Time.
jesussantana/DeepLearning.AI-Introduction-to-Machine-Learning-in-Production
In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application.
dao-duc-tung/eks-ml-deploy-system
A EKS-based ML deployment solution
dao-duc-tung/ecs-ml-deploy-system
An ECS-based ML deployment solution
ksm26/ROS-based-3D-detection-Tracking
Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.
manhph2211/ml-mornitoring
Simply Automate Monitoring Infrastructure with Terraform, Ansible, AWS EC2, Nginx, Prometheus, Grafana and Github Actions :smile:
manhph2211/ml-project-template
This repo shows how to implement a simple image generation app that uses Jax-Implementation of a conditional VAE, Jax, fastapi, docker, streamlit, heroku, ec2, and cloudflare :smiley:
CleverInsight/predicteasy
Powerful AutoML toolkit
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.
partheev/campus-placement-analysis
Identifying Patterns and Trends in Campus Placement Data using Machine Learning
Rahulgarg95/fitbit-calorie
A regression model to predict calories burnt using values from multiple sensors.
schmidtbri/ml-base
Base classes and utilities that are useful for deploying ML models.
alpemek/ML-Deployment
A basic example of deploying machine learning applications
chawla201/Airplane-Accident-Severity-Prediction
Ensemble Learning | Flask
COOLMudi/Corporate-Bankruptcy-Technocolab
This is Mudit Vyas worked as ML Developer Intern , Team Leader in Technocolabs Software.This is Internship Project For Technocolabs Software.
harisonmg/sentiment-analysis
Demonstration of building a machine learning model and deploying it on a web app.
markbotros1/portfolio-app
A web app to showcase some of my favorite projects
varvarvarvar/language_identification
:globe_with_meridians: Language identification for Scandinavian languages
ArkadiuszSlowik/Differentiate-customer-groups
The goal of this project is to build a data driven model that finds the customer groups that lead to good ROIs (Return on Investment).
IdrisseAA/MNIST-Audio-Digit-Classifier
We will apply deep learning techniques for the classification of the free-spoken-digit-dataset, akin to an audio version of MNIST.
Rahulgarg95/SensorFaultDetection
A classification model built to determine the issues in system given data from multiple sensors.
RicardoRibeiroRodrigues/AWS-IaC-mlops-pipeline
Terraform code, aws scripts and pipeline templates for the AWS-IaC-mlops-pipeline.
ShahDishank/placement_predictor
It is a website that utilize machine learning model to predict the probability of getting placed and salary.
Shreyjain203/Machine-Learning-Model-to-Production-Website-using-GKE
An end-to-end ML model deployment pipeline on GCP: train in Cloud Shell, containerize with Docker, push to Artifact Registry, deploy on GKE, and build a basic frontend to interact through exposed endpoints. This showcases the benefits of containerized deployments, centralized image management, and automated orchestration using GCP tools.
vinit714/AI-Powered-Text-Generation-and-Sentiment-Analysis-Dashboard
This Flask web application performs text sentiment analysis and text generation based on user input. Users can input text, and the application will analyze its sentiment using NLTK's Vader sentiment analysis tool and generate additional text using the GPT-2 model.
murilo-cunha/mlops-and-deployment
Slides for ML deployment and MLOps
Priyansi/ml-deployment-snippets
Code Snippets for an Image Classification model deployed using FastAPI and Streamlit.
richardvlas/Operationalizing-Machine-Learning
In this project we use Microsoft Azure Cloud Computing Services to configure a cloud-based machine learning production model, deploy it, and consume it. We will also create, publish, and consume a pipeline.
shrutibalan4591/Store-Sale-Prediction
An end-to-end ML project, which aims at developing a regression model for the problem of predicting the sales of a given product, based on its properties like item category, weight, visibility, MRP, type of outlet the product is sold, size of the outlet etc.