GitHub topics: ml-deployment

Repositories

cceyda/torchserve-dashboard

Management Dashboard for Torchserve

Language: Python - Size: 2.89 MB - Last synced at: 9 days ago - Pushed at: about 2 years ago - Stars: 120 - Forks: 13

Tyler-Pritchard/tabla-image-gen-ai

🪘 Tabla Drum Image Generator – AI-powered tabla drum image generation using Stable Diffusion & GANs. Features custom dataset curation, ML training pipeline, and scalable API deployment.

Language: Python - Size: 12.4 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

ShahDishank/placement_predictor

It is a website that utilize machine learning model to predict the probability of getting placed and salary.

Language: Jupyter Notebook - Size: 1.62 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

MohamedLotfy989/Group_Activity_Recognition_Volleyball

An implementation of seminal CVPR 2016 paper: "A Hierarchical Deep Temporal Model for Group Activity Recognition."

Language: Python - Size: 35.7 MB - Last synced at: 21 days ago - Pushed at: 2 months ago - Stars: 5 - Forks: 0

ksm26/ROS-based-3D-detection-Tracking

Deployment of 3D-Detection and Tracking pipeline in simulation based on rosbags and real-time.

Language: Python - Size: 92.5 MB - Last synced at: 24 days ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 1

autodeployai/pmml4s

PMML scoring library for Scala

Language: Scala - Size: 483 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 63 - Forks: 10

gautamgc17/Marks-predictor-Heroku-deployment

This repository demonstrates how to deploy a Marks Predictor using a Linear Regression model on Heroku with Flask as the backend framework.

Language: HTML - Size: 5.86 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 1

markbotros1/portfolio-app

A web app to showcase some of my favorite projects

Language: TypeScript - Size: 2.59 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

ml-deploy-lite is a Python library designed to simplify the deployment of machine learning models. It allows developers to quickly turn their models into REST APIs or gRPC services with minimal configuration. The library integrates seamlessly with Docker and Kubernetes, providing built-in monitoring and logging for performance and error tracking.

Language: Python - Size: 198 KB - Last synced at: 20 days ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

schmidtbri/ml-base

Base classes and utilities that are useful for deploying ML models.

Language: Python - Size: 1.32 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

murilo-cunha/mlops-and-deployment

Slides for ML deployment and MLOps

Language: CSS - Size: 1.38 MB - Last synced at: 19 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 18.8 MB - Last synced at: 15 days ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 3

CleverInsight/predicteasy

Powerful AutoML toolkit

Language: Jupyter Notebook - Size: 308 KB - Last synced at: 18 days ago - Pushed at: 9 months ago - Stars: 4 - Forks: 2

RicardoRibeiroRodrigues/AWS-IaC-mlops-pipeline

Terraform code, aws scripts and pipeline templates for the AWS-IaC-mlops-pipeline.

Language: Python - Size: 92.8 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 1

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.

Language: Python - Size: 7.81 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 25.4 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

gasparian/ml-serving-template

Serving large ml models independently and asynchronously via message queue and kv-storage for communication with other services [EXPERIMENT]

Language: Python - Size: 558 KB - Last synced at: about 4 hours ago - Pushed at: almost 4 years ago - Stars: 15 - Forks: 1

Rahulgarg95/SensorFaultDetection

A classification model built to determine the issues in system given data from multiple sensors.

Language: Python - Size: 17.6 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Rahulgarg95/fitbit-calorie

A regression model to predict calories burnt using values from multiple sensors.

Language: Jupyter Notebook - Size: 4.34 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

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.

Language: Python - Size: 1.06 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0