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82 search results found

Jina ⭐ 19,573

☁️ Build multimodal AI applications with cloud-native stack

Recommenders ⭐ 17,972

Best Practices on Recommendation Systems

Computervision Recipes ⭐ 9,225

Best Practices, code samples, and documentation for Computer Vision.

Bentoml ⭐ 6,488

The most flexible way to serve AI models in production

Clearml ⭐ 5,190

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

Serve ⭐ 3,844

Serve, optimize and scale PyTorch models in production

Polyaxon ⭐ 3,438

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Ml Workspace ⭐ 3,197

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Determined ⭐ 2,715

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Metarank ⭐ 1,949

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

Diffgram ⭐ 1,772

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

Seldon Server ⭐ 1,420

Machine Learning Platform and Recommendation Engine built on Kubernetes

Kubernetes Gpu Guide ⭐ 714

This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.

Elasticdl ⭐ 710

Kubernetes-native Deep Learning Framework

A CLI for Kubeflow.

Submarine ⭐ 675

Submarine is Cloud Native Machine Learning Platform.

Kuberay ⭐ 669

A toolkit to run Ray applications on Kubernetes

Model_server ⭐ 618

A scalable inference server for models optimized with OpenVINO™

Run your deep learning workloads on Kubernetes more easily and efficiently.

NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)

Stock Analysis Engine ⭐ 414

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Kubernetes Internals ⭐ 342

This is a collection of resources that shed light on the inner workings of Kubernetes

Adaptdl ⭐ 339

Resource-adaptive cluster scheduler for deep learning training.

Clearml Server ⭐ 338

ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management

Issue Label Bot ⭐ 313

Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code for the blog article: "How to automate tasks on GitHub with machine learning for fun and profit"

TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.

Imagetagger ⭐ 257

An open source online platform for collaborative image labeling

GPU environment management and cluster orchestration

Clearml Agent ⭐ 219

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

Paddlecloud ⭐ 197

PaddlePaddle Docker images and K8s operators for PaddleOCR/Detection developers to use on public/private cloud.

Tensorrt Laboratory ⭐ 193

Explore the Capabilities of the TensorRT Platform

Hivedscheduler ⭐ 183

Kubernetes Scheduler for Deep Learning

Awesome Ai Infrastructures ⭐ 171

Infrastructures™ for Machine Learning Training/Inference in Production.

Awesome Kubeflow ⭐ 169

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

Kubecon North America 2018 ⭐ 142

KubeCon-CloudNativeCon-North-America-2018's slides. / 2018北美CNCF大会PPT。

Kafka Ml ⭐ 131

Kafka-ML: connecting the data stream with ML/AI frameworks (now TensorFlow and PyTorch!)

Clearml Serving ⭐ 115

ClearML - Model-Serving Orchestration and Repository Solution

Crd Code Generation ⭐ 101

Mloperator ⭐ 89

Machine Learning Operator & Controller for Kubernetes

Kamonohashi ⭐ 85

AI開発プラットフォームKAMONOHASHI

Vmworld2018 Session Urls ⭐ 82

VMworld 2018 session recordings

Aksdeploymenttutorial ⭐ 75

Tutorial on how to deploy Deep Learning models on GPU enabled Kubernetes cluster

Polyaxon Examples ⭐ 65

Code for tutorials and examples

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.

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

Kubecon Cloudnativecon Europe 2019 ⭐ 56

KubeCon-CloudNativeCon-Europe-2019's slides. / 2019欧洲CNCF大会PPT。

Code Intelligence ⭐ 55

ML-Powered Developer Tools, using Kubeflow

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪

Tensorflow Kubernetes Art Classification ⭐ 50

Train a TensorFlow model on Kubernetes to recognize art culture based on the collection from the Metropolitan Museum of Art

Godpaper ⭐ 44

🐵 An AI chess-board-game framework(by many programming languages) implementations.

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.

Smartcheck Helm ⭐ 42

Helm chart to deploy Trend Micro Deep Security Smart Check.

Keras2kubernetes ⭐ 40

Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.

Papers Notebook With Scheduling ⭐ 39

碩士論文文獻筆記（Deep Learning、Scheduling、Distributed、Kubernetes）

Deploy and Monitor ML Model in Any Cloud

Sak Kubeflow ⭐ 36

🚀 Deploy Kubeflow on AWS EKS with Terraform 🤖

Az Deep Realtime Score ⭐ 34

AKS Deployment Tutorial

Bisqueucsb ⭐ 33

An ML Platform for storing, analyzing, and visualizing your data all in the browser.

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

Kubernetes Design Patterns And Extensions Elearning ⭐ 30

Master container cluster management skills and transform the way you develop and deploy applications

Polyaxon Quick Start ⭐ 29

A quick start project for polyaxon

Awesome Distributed Ml ⭐ 27

Awesome Distributed Machine Learning Frameworks

Deepparking ⭐ 27

Find vacant parking spots in indoor and outdoor locations

Tensorflow Object Detection ⭐ 25

📦 Operationalizing TensorFlow Object Detection on Azure

Vodascheduler ⭐ 23

GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster

A simple, High-Performance, Scalable ML/DL Models Repository based on OCI Artifacts

Cloudtik ⭐ 23

Cloud Scale Platform for Distributed Analytics and AI

Insightedge ⭐ 22

InsightEdge Core

Clearml Server K8s ⭐ 21

ClearML Server for Kubernetes Clusters

Neon Workshop ⭐ 20

A Pachyderm deep learning tutorial for conference workshops

Mlzoomcamp2022 ⭐ 20

My repo for the Machine Learning Engineering bootcamp 2022 by DataTalks.Club

Polyaxon Core Client & CLI to streamline MLOps

Machine Learning Stack for Big Data, Big Cluster and Big Challenges

Clearml Server Helm ⭐ 18

ClearML Server for Kubernetes Clusters Using Helm

Federated Learning Infra Architecture on Kubernetes(EKS)

GPU management System on Kubernetes For AI, Deep-Learning, Machine-Learning Researcher.

Python Fhez ⭐ 16

Official mirror of Python-FHEz; Python Fully Homomorphic Encryption (FHE) Library for Encrypted Deep Learning as a Service (EDLaaS).

Openpai Runtime ⭐ 16

Runtime for deep learning workload

A Deep Learning Cluster Scheduler

Cloud Native ML/DL Platform

Max Central Repo ⭐ 15

Central Repository of Model Asset Exchange project. This repository contains information about the available models, current project status, contribution guidelines and supporting assets.

Kubeflow Installation On Windows 10 ⭐ 15

Kubeflow installation on windows 10/11

Docker Tensorflow Keras Gpu ⭐ 14

Run Tensorflow and Keras with GPU support on Kubernetes

Public Talks ⭐ 14

Slides, videos, and supporting files for my public talks

Frictionless Machine Learning on Kubernetes

Terrytangyuan.github.com ⭐ 11

Deep Learning Toolkit ⭐ 11

Deep Learning Toolkit for Splunk

Open space for Machine Learning is an open source platform for automated machine learning. The goal is to enable non-experts to solve every day problems with AI. It automates all steps on the way to the finished AI model with the help of an intuitive UI/UX.

Demo Rosa Sagemaker ⭐ 10

How to use ROSA with AWS sagemaker

Roadmap Data Scientist ⭐ 9

The basic roadmap to become a data scientist

Lazy Koala ⭐ 8

A toolkit to apply AIOps to distributed systems

Public reusable components for Polyaxon

Docker_tutorial ⭐ 7

Master Docker from Scratch! 🐳 A tutorial for beginners to advanced users, covering everything you need to know about Docker. With practical examples and projects, learn how to create and run containers, build images, and more. 💻🚀

K8s Mig Operator ⭐ 7

A kubernetes operator for managing nvidia MIG instances.

Deepsecurity Kubernetes Plugin ⭐ 7

Deep Security Kubernetes (kubectl) Plugin

Schema definitions and validation for Polyaxon.

Fashion Mnist Using Ffdl ⭐ 6

Train your Fashion MNIST model with FfDL on Kubernetes with GPU

Polyaxon Operator ⭐ 6

Polyaxon Operator & Controller for Kubernetes

Containers Ml And Cloud Computing ⭐ 6

Everything about how to deploy projects on the cloud, run ML workloads on the HPC cluster and on the cloud and the efficient configuration and management of related collaborative platforms [e.g. container orchestration].

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