Topic: mlops-workflow Goto Github
Some thing interesting about mlops-workflow
Some thing interesting about mlops-workflow
mlops-workflow,Pybind11 bindings for Whisper.cpp
User: aarnphm
mlops-workflow,'Roiergasias' kubernetes operator is meant to address a fundamental requirement of any data science / machine learning project running their pipelines on Kubernetes - which is to quickly provision a declarative data pipeline (on demand) for their various project needs using simple kubectl commands. Basically, implementing the concept of No Ops. The fundamental principle is to utilise best of docker, kubernetes and programming language features to run a workflow with minimal workflow definition syntax. It is a Go based workflow running on command line or Kubernetes with the help of a custom operator for a quick and automated data pipeline for your machine learning projects (a flavor of MLOps).
User: ankursoni
mlops-workflow,End to end example of Metaflow and Prefect pipelines (Python)
User: ashishtele
mlops-workflow,This Guidance demonstrates how to deploy a machine learning inference architecture on Amazon Elastic Kubernetes Service (Amazon EKS). It addresses the basic implementation requirements as well as ways you can pack thousands of unique PyTorch deep learning (DL) models into a scalable architecture and evaluate performance at scale
Organization: aws-solutions-library-samples
mlops-workflow,Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Organization: azure
Home Page: https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-management-and-deployment
mlops-workflow,Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Organization: azure
Home Page: https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-management-and-deployment
mlops-workflow,Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Organization: azure
Home Page: https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-management-and-deployment
mlops-workflow,To track progress during the MLOps Zoomcamp, conducted by DataTalks.Club
User: balapriyac
mlops-workflow,Bench AI Docs!
Organization: bench-ai
Home Page: https://docs.bench-ai.com
mlops-workflow,Fast model deployment on any cloud 🚀
Organization: bentoml
Home Page: https://bentoml.com
mlops-workflow,MLOps Workshop using Weights and Bias (Wandb) and Github Actions.
User: darkanita
mlops-workflow,Example end-to-end ml pipeline build with the Sagemaker Python SDK
Organization: datadrivers
mlops-workflow,☸ This repository was created to develop and build ML pipelines using Kubernetes in an optimal manner. ☸
User: elkinmt19
mlops-workflow,End to end machine leanring project: This repository serves as a simplified guide to help you grasp the fundamentals of MLOps.
User: harly-1506
mlops-workflow,This project contains the production ready Machine Learning solution to make the prediction on the batch of data coming from Air Pressure system (APS) sensors
User: hassi34
Home Page: https://hasanain.aicaliber.com
mlops-workflow,In this project, the system in focus is the Air Pressure system (APS) which generates pressurized air that are utilized in various functions in a truck, such as braking and gear changes. The datasets positive class corresponds to component failures for a specific component of the APS system.
User: hassi34
Home Page: https://github.com/Hassi34/sensor-fault-detection
mlops-workflow,
Organization: ibm
mlops-workflow,An argo plugin for executing Volcano Job
Organization: iflytek
mlops-workflow,The project is a concoction of research (audio signal processing, keyword spotting, ASR), development (audio data processing, deep neural network training, evaluation) and deployment (building model artifacts, web app development, docker, cloud PaaS) by integrating CI/CD pipelines with automated tests and releases.
User: jithsaavvy
mlops-workflow,GitHub action for installing kit CLI
Organization: jozu-ai
mlops-workflow,This repository houses machine learning models and pipelines for predicting various diseases, coupled with an integration with a Large Language Model for Diet and Food Recommendation. Each disease prediction task has its dedicated directory structure to maintain organization and modularity.
User: kalyanm45
mlops-workflow,Tutorials on creating a reproducible and maintainable data science project
User: khuyentran1401
Home Page: https://khuyentran1401.github.io/reproducible-data-science/
mlops-workflow,A beginner's project on automating the training, evaluation, versioning, and deployment of models using GitHub Actions.
User: kingabzpro
Home Page: https://www.datacamp.com/tutorial/ci-cd-for-machine-learning
mlops-workflow,This repo showcases a project that transforms ML model training into a simplified, production-ready Kedro Dockerized Pipeline. It emphasizes best MLOps practices, enabling easy training, evaluation, and deployment of models, including XGBoost, LightGBM and Random Forest, with built-in visualization and logging features for effective monitoring.
User: labrijisaad
mlops-workflow,A Production Tool for Embodied AI
Organization: loopmind-ai
Home Page: https://www.loopquest.ai/
mlops-workflow,Azure MLOps
User: mg-microsoft
mlops-workflow,Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases with DVC and CML using Github Actions and IBM Watson. Part of the Engineering Final Project @ Insper
Organization: mlops-guide
Home Page: https://mlops-guide.github.io
mlops-workflow,🛠 MLOps end-to-end guide and tutorial website, using IBM Watson, DVC, CML, Terraform, Github Actions and more.
Organization: mlops-guide
Home Page: https://mlops-guide.github.io
mlops-workflow,🍪 Cookiecutter template for MLOps Project. Based on: https://mlops-guide.github.io/
Organization: mlops-guide
Home Page: https://mlops-guide.github.io
mlops-workflow,MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
Organization: mlrun
Home Page: https://mlrun.org
mlops-workflow,Advanced course on tools and practices aiming at designing, developing, deploying and maintain in production microservice architectures.
User: nbicocchi
mlops-workflow,The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸
Organization: nimbleboxai
Home Page: https://nimblebox.ai/docs/nbox/start
mlops-workflow,A Recommendation Engine API that can be used to recommend movies, music, games, manga, anime, comics, tv shows and books. Deployed using an AWS EC2 instance.
User: nneji123
Home Page: http://3.215.17.45/docs
mlops-workflow,A work in progress to build out solutions in Rust for MLOPs
Organization: nogibjj
Home Page: https://nogibjj.github.io/rust-tutorial/
mlops-workflow,Example of how to build machine learning training workflow on AWS by Prefect
User: nsakki55
Home Page: https://developers.cyberagent.co.jp/blog/archives/38253/
mlops-workflow,:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
User: offchan42
mlops-workflow,Developing pipeline to build and deploy a machine learning solution with Azure.
User: philiphaddad97
mlops-workflow,Main python package for deploying and managing machine learning models in production
Organization: propheto-io
mlops-workflow,End-to-End Python based ML project focusing on forecasting multiple multivariate time series with production grade deployment techniques.
User: rauhanahmed
Home Page: https://store-sales-api.onrender.com
mlops-workflow,Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
User: statmike
mlops-workflow,A Helm chart containing Kubeflow Pipelines as a standalone service.
User: techn0logic
mlops-workflow,🏕️ Reproducible development environment
Organization: tensorchord
Home Page: https://envd.tensorchord.ai/
mlops-workflow,Repository for the Demo of using DVC with PyCaret & MLOps (DVC Office Hours - 20th Jan, 2022)
User: tezansahu
mlops-workflow,Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs
Organization: the-full-stack
Home Page: https://fullstackdeeplearning.com/course
mlops-workflow,A MLOps framework for generating ML assets and metadata.
User: thenewflesh
mlops-workflow,Zokyo is a MLOps friendly image augmentation library written in python built with modularity and extensibility in mind. Specifically crafted for automotive deep learning development.
Organization: toyota-connected-india
Home Page: https://toyota-connected-india.github.io/zokyo/
mlops-workflow,2 Lines of code to track ML experiments + EDA + check into Github
Organization: vevesta
Home Page: https://vevesta.com
mlops-workflow,AI book for everyone
User: yeonwoosung
mlops-workflow,A simple guide to MLOps through ZenML and its various integrations.
Organization: zenml-io
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