Awesome Open Source

Programming Languages

Search results for artificial intelligence pipeline

artificial-intelligence x

13 search results found

Stanza ⭐ 6,931

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Mage Ai ⭐ 6,324

🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.

Production Level Deep Learning ⭐ 3,957

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

Zenml ⭐ 3,626

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

Polyaxon ⭐ 3,438

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Marimo ⭐ 3,037

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

Transmogrifai ⭐ 2,099

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

Elyra ⭐ 1,721

Elyra extends JupyterLab with an AI centric approach.

Cube Studio ⭐ 1,710

cube studio开源云原生一站式机器学习/深度学习AI平台，支持sso登录，多租户/多项目组，数据资产对

💧 Instill VDP (Versatile Data Pipeline) is an open-source tool to seamlessly integrate AI to process unstructured data in the modern data stack

Deepaudioclassification ⭐ 983

Finding the genre of a song with Deep Learning

Sematic ⭐ 913

An open-source ML pipeline development platform

Onepanel ⭐ 704

The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

Trankit ⭐ 693

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.

Platform for Situated Intelligence

Lingoose ⭐ 342

🪿 LinGoose it's a Go framework for developing LLMs-based application using pipelines

Dataengineering Roadmap ⭐ 297

Un repositorio más con conceptos básicos, desafíos técnicos y recursos sobre ingeniería de datos en español 🧙✨

Low-code Python library to safely use notebooks in production: schedule workflows, generate assets, trigger webhooks, send notifications, build pipelines, manage secrets (Cloud-only)

Morphl Community Edition ⭐ 233

MorphL Community Edition uses big data and machine learning to predict user behaviors in digital products and services with the end goal of increasing KPIs (click-through rates, conversion rates, etc.) through personalization

Developer platform for production ML.

Incubator Liminal ⭐ 131

Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, validation, deployment and inference in production. Liminal provides a Domain Specific Language to build ML workflows on top of Apache Airflow.

Pipeline ⭐ 101

Pipeline is an open source python SDK for building AI/ML workflows

Modelbox ⭐ 97

A high performance, high expansion, easy to use framework for AI application. 为AI应用的开发者提供一套统一的高性能、易用的编程框架，快速基于AI全栈服务、开发跨端边云的AI行业

K3ai is a lightweight, fully automated, AI infrastructure-in-a-box solution that allows anyone to experiment quickly with Kubeflow pipelines. K3ai is perfect for anything from Edge to laptops.

Ck Tensorflow ⭐ 89

Collective Knowledge components for TensorFlow (code, data sets, models, packages, workflows):

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.

Oreilly Ai K8s Tutorial ⭐ 58

Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018

Aireferencearchitectures ⭐ 56

Official Azure Reference Architectures for AI workloads

Digipathai ⭐ 56

Tool to visualize gigantic pathology images and use AI to segment cancer cells and present as an overlay

Devops For Ai Apps ⭐ 50

This repository contains code samples for building a continuous integration pipeline for an AI application using Azure.

Machine learning around business processes

Pythonframeworks ⭐ 49

Another curated list of Python frameworks

Geoweaver ⭐ 43

a web system to allow users to automatically record history and manage complicated scientific workflows in web browsers involving the online spatial data facilities, high-performance computation platforms, and open-source libraries.

Cifar 10 ⭐ 32

Use the famous CIFAR-10 dataset to train a multi-layer neural network to recognize images of cats, dogs, and other things.

The recommendation engine for Python software stacks and Dependency Monkey in project Thoth.

Nodejs Ai Platform ⭐ 31

Predict Fraud Using Auto Ai ⭐ 28

Use AutoAI to detect fraud

Ml Pipeline Generator Python ⭐ 24

ML Pipeline Generator is a tool for generating end-to-end pipelines composed of GCP components so that any customer can easily migrate their local ML models onto GCP and start realizing the benefits of the cloud quickly.

K3ai Core ⭐ 21

K3ai-core is the core library for the GO installer. Go installer will replace the current bash installer

Tychos Python ⭐ 21

Python library for the Tychos API. Connect live data to AI without managing pipelines

Dxc Industrialized Ai Starter ⭐ 21

Industrialized AI Starter

Mlops Tdsp Template ⭐ 20

Quickstart template as a fork on TDSP (https://github.com/Azure/Azure-TDSP-ProjectTempla extending the template with a suggested structure for operationalization using Azure. Includes ARM templates as IaC for resource deployment, template build and release pipelines to enable model CI/CD, template code for working with Azure ML.

⚗️ Instill Model contains components for AI model orchestration

Tychos Node ⭐ 19

Node.js library for the Tychos API. Connect live data to AI without managing pipelines.

Pipeline Editor ⭐ 19

Common pipeline-editor components used in different clients (e.g. Elyra application, Web browser extensions, etc)

Ai4Prod is the first ecosystem which makes easy for any Machine Learning engineer using AI in production with C++.

Astarte_flow ⭐ 14

Build data processing pipelines with Astarte Flow.

Simplify and accelerate your machine learning development with mleko. Designed with modularity and customization in mind, it seamlessly integrates into your existing workflows. Its robust caching system optimizes performance, taking you from data ingestion to finalized models with unparalleled efficiency.

🔮 Instill Core contains components for supporting Instill VDP and Instill Model

Neon Is Data Processing ⭐ 10

Next generation data processing algorithms and pipeline components for (most) NEON TIS and AIS data products.

Devopsforai ⭐ 10

Deploy end to end ML/AI pipelines using Azure ML Service and Azure DevOps and take a Data Science (AI/ML) solution into Production.

Detecting Lane Lines P1 ⭐ 9

Lane Finding Project for Self-Driving Car Nano Degree Term 1. Road Lane Lines are detected by using various image processing techniques like Grayscale, Blurring, Canny Edge Detection, Hough Transform and Masking.

Multi Shot AI Pipeline Editor

H2o_scorer ⭐ 6

H2O.ai's open source Mojo Model & Driverless AI Mojo Pipeline REST web service for real-time scoring

AI+ [Data, I/O, and TensorFlow: Building A Reliable Machine Learning Data Pipeline]

Wef_oceans ⭐ 5

Dai Deployment Examples ⭐ 5

Examples for deploying Driverless AI (DAI) scorers.

Related Searches

Python Artificial Intelligence (6,873)

Machine Learning Artificial Intelligence (4,487)

Python Pipeline (4,255)

Deep Learning Artificial Intelligence (2,827)

Jupyter Notebook Artificial Intelligence (2,712)

Artificial Intelligence Neural Network (1,732)

Javascript Pipeline (1,369)

Java Artificial Intelligence (1,340)

Artificial Intelligence Tensorflow (1,225)

Pipeline Jenkins (1,150)

1-13 of 13 search results

Privacy | About | Terms | Follow Us On Twitter

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