Awesome Open Source

Programming Languages

Search results for machine learning mlops

machine-learning x

304 search results found

Mlplatform Workshop ⭐ 235

🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more

Machine Learning Goodness ⭐ 235

The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.

Mlstacks ⭐ 227

A series of Terraform based recipes to provision popular MLOps stacks on the cloud.

Clearml Agent ⭐ 219

ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

HI-ML toolbox for deep learning for medical imaging and Azure integration

Active Learning As A Service ⭐ 206

A scalable & efficient active learning/data selection system for everyone.

Machine Learning ⭐ 206

Learn AI together, for free. AI learning and teaching resources for everyone.

Fraudfinder ⭐ 190

Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud

Deploykf ⭐ 186

deployKF builds world-class data and machine learning platforms on any Kubernetes cluster, in any cloud or environment.

Whitebox ⭐ 184

[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes

Whylogs Java ⭐ 179

Profile and monitor your ML data pipeline end-to-end

Mlops.toys ⭐ 170

🎲 A curated list of MLOps projects, tools and resources

Zenbytes ⭐ 169

A simple guide to MLOps through ZenML and its various integrations.

Awesome Kubeflow ⭐ 169

A curated list of awesome projects and resources related to Kubeflow (a CNCF incubating project)

Simpleai ⭐ 163

An easy way to host your own AI API and expose alternative models, while being compatible with "open" AI clients.

A lightweight CLI tool for versioning data alongside source code and building data pipelines.

Frouros ⭐ 153

Frouros: an open-source Python library for drift detection in machine learning systems.

Kubernetes-friendly ML model management, deployment, and serving.

Modelkit ⭐ 152

Toolkit for developing and maintaining ML models

Babylog ⭐ 148

A lightweight logger for machine learning teams to log images and predictions in production.

Docker Containers ⭐ 143

Docker images for fastai

Transform your pythonic research to an artifact that engineers can deploy easily.

Actions Ml Cicd ⭐ 136

A Collection of GitHub Actions That Facilitate MLOps

Awesome Sagemaker ⭐ 135

A curated list of references for Amazon SageMaker

Mlops Workload Orchestrator ⭐ 129

The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework that provides a standard interface for managing ML pipelines for AWS ML services and third-party services.

Recommendations For Engineers ⭐ 123

All of my recommendations for aspiring engineers in a single place, coming from various areas of interest.

Aws Ml Jp ⭐ 120

SageMakerで機械学習モデルを構築、学習、デプロイする方法が学べるNotebookと教材集

Tfx Addons ⭐ 116

Developers helping developers. TFX-Addons is a collection of community projects to build new components, examples, libraries, and tools for TFX. The projects are organized under the auspices of the special interest group, SIG TFX-Addons. Join the group at http://goo.gle/tfx-addons-group

Clearml Serving ⭐ 115

ClearML - Model-Serving Orchestration and Repository Solution

Intelligent App Workshop ⭐ 114

Immersive workshop showcasing the remarkable potential of integrating SoTA foundation models to enhance product experiences and streamline backend workflows. Leverages Microsoft's Copilot stack, Semantic Kernel and Azure primitives to offer an engaging and comprehensive introduction to AI-infused app development and deployment

Meow Learning ⭐ 114

This is a pick-your-problem style guide I created to educate everyone from my leadership team to my ML engineers on the process of how to work with AI in production settings.

Swanlab ⭐ 108

🧐SwanLab: track and visualize all the pieces of your machine learning pipeline. Join our WeChat ⬇️

Trubrics Sdk ⭐ 104

The first user analytics platform for AI models

Machine Learning ⭐ 103

All content related to machine learning from my blog

Fastapi Template ⭐ 101

Complete Scalable FastAPI based template for Machine Learning, Deep Learning and any other software project which wants to use Fast API as API framework.

ForML - A development framework and MLOps platform for the lifecycle management of data science projects

User documentation for KServe.

Vectorhub ⭐ 95

VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.

PyMilo: Python for ML I/O

MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle

Automlops ⭐ 92

Build MLOps Pipelines in Minutes

Mloperator ⭐ 89

Machine Learning Operator & Controller for Kubernetes

Metadata store for Production ML

Monai Deploy ⭐ 87

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

DagsHub client libraries

Awesome Mlsecops ⭐ 86

A curated list of MLSecOps tools, articles and other resources on security applied to Machine Learning and MLOps systems.

Kamonohashi ⭐ 85

AI開発プラットフォームKAMONOHASHI

Benderopt ⭐ 85

Black-box optimization library

The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML 🌸

Ml Template Azure ⭐ 82

Template for getting started with automated ML Ops on Azure Machine Learning

Inferoxy ⭐ 80

Service for quick deploying and using dockerized Computer Vision models

Ai Privacy Toolkit ⭐ 79

A toolkit for tools and techniques related to the privacy and compliance of AI models.

Fasttrackml ⭐ 77

Experiment tracking server focused on speed and scalability

a simplified machine learning container platform that helps teams get started with an automated workflow

The repository contains a list of projects which I will work on while learning and implementing MLOps.

Chassis turns machine learning models into portable container images that can run just about anywhere.

Monai Deploy App Sdk ⭐ 74

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

Soorgeon ⭐ 73

Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊

Fsdl Text Recognizer 2022 ⭐ 71

Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-t

Qgate Model ⭐ 70

The machine learning meta-model with synthetic data (useful for MLOps/feature store), part of the quality gateway concept.

Oomstore ⭐ 70

Lightweight and Fast Feature Store Powered by Go (and Rust).

A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI tool of your choice and even run your code on it.

Mlops.net ⭐ 69

A machine learning model operations and management tool for ML.NET

MLOps Python Library

Minimalistic ML-models auto deployment tool

Cinnamon ⭐ 66

CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system

Platform for a hybrid execution of ML workflows that transparently integrates local and remote runtimes

Polyaxon Examples ⭐ 65

Code for tutorials and examples

Llmops Promptflow Template ⭐ 65

LLMOps with Prompt Flow is a "LLMOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.

Awesome Ai Safety ⭐ 64

A curated list of papers & technical articles on AI Quality & Safety 📚

Managing the lifecycle of machine learning to support scalability, impact, collaboration, compliance and sharing.

FuseML aims to provide an MLOps framework as the medium dynamically integrating together the AI/ML tools of your choice. It's an extensible tool built through collaboration, where Data Engineers and DevOps Engineers can come together and contribute with reusable integration code.

Truss Examples ⭐ 60

Examples of models deployable with Truss

Examples ⭐ 60

📝 Examples of how to use Neptune for different use cases and with various MLOps tools

Hypertune ⭐ 60

A library for performing hyperparameter optimization

Dstoolkit Mlops Databricks ⭐ 58

ML Ops Accelerator: Databricks & Azure Machine Learning Unification

Reproducible Data Science ⭐ 58

Tutorials on creating a reproducible and maintainable data science project

Mlops Templates ⭐ 57

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

Pipertool ⭐ 56

Platform for data science and machine learning prototyping. Developed by Tatradev.com

DataOps framework for Machine Learning projects.

Qgate Sln Mlrun ⭐ 53

The quality gate for testing MLRun/Iguazio solution.

a Wide Shelf for AI and Data Science | Resources 🍔

Mnist Mlops Learning ⭐ 51

In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits

Quick Notes For Ml Ds ⭐ 49

It contains interview preparation notes provided by iNeuron, important links, MLOps resources

Build And Deploy Real Time Feature Pipeline ⭐ 45

Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.

Azure Databricks Mlops Mlflow ⭐ 44

Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.

Serving Pytorch Models ⭐ 43

Serving PyTorch models with TorchServe 🔥

Bert As A Service_tfx ⭐ 42

End-to-end pipeline with TFX to train and deploy a BERT model for sentiment analysis.

Kedro Kubeflow ⭐ 42

Kedro Plugin to support running workflows on Kubeflow Pipelines

Sqlite Ml ⭐ 41

An SQLite extension for machine learning

Waterdip ⭐ 40

Open-source ML Observability Platform

Www Project Machine Learning Security Top 10 ⭐ 39

OWASP Machine Learning Security Top 10 Project

Ai On Openshift ⭐ 38

AI-on-OpenShift website source code

Aimodelshare ⭐ 38

Serving Tensorflow Models ⭐ 37

Serving TensorFlow models with TensorFlow Serving 📙

Deploy and Monitor ML Model in Any Cloud

Python client for Kolena's machine learning testing platform

Easiest way to use AI models without coding (Web UI & API support)

A minimalistic and pluggable machine learning platform for Kubernetes.

Related Searches

Python Machine Learning (18,403)

Jupyter Notebook Machine Learning (11,284)

Machine Learning Neural Network (4,361)

Machine Learning Artificial Intelligence (4,165)

Machine Learning Data Science (4,033)

Machine Learning Tensorflow (3,563)

Machine Learning Natural Language Processing (3,258)

Machine Learning Pytorch (2,329)

Machine Learning Dataset (2,253)

Machine Learning Computer Vision (2,007)

101-200 of 304 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.