384 Open source projects that are alternatives of or similar to oomstore

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Model Serving Made Easy

Feature Store for Machine Learning

A curated list of references for MLOps

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

🚀 Build and manage real-life data science projects with ease!

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

Polyaxon Core Client & CLI to streamline MLOps

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.

Slack bot for monitoring your Metaflow flows!

Subscribe to this GitHub repo to access the latest tech talks, tech demos, learning materials & modules, and developer community updates!

📒 Experiment tracking tool and model registry

This repository holds the Google Colabs for the EdX TinyML Specialization

Materials for ML course at Lebedev Physical Institute

Synthetic data for computer vision. An open source toolkit using Blender and Python.

Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584

GitHub Action that allows you to deploy machine learning models in Azure Machine Learning.

Project for serving ML module. This is a gRPC micro-framework.

Service identification on ciphered traffic.

Collaboration platform for data science projects & Jupyter notebooks

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

A system for development of high-performance, data-intensive, distributed computing, applications, tools, and libraries.

Examples for usage of Mindsdb https://www.mindsdb.com/

A project-based course on the foundations of MLOps with a focus on intuition and application.

Machine Learning Operator & Controller for Kubernetes

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

NLP framework in python for entity recognition and relationship extraction

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

FakeFinder builds a modular framework for evaluating various deepfake detection models, offering a web application as well as API access for integration into existing workflows.

This project provides code examples for SAP HANA Predictive and Machine Learning scenarios and is educational content. It covers simple Predictive Analysis Library SQL examples as well as complete SAP HANA design-time “ML scenario”-application content or HANA-ML Python Notebook examples.

Cut out objects and remove backgrounds from pictures with artificial intelligence

iOS and Android app built with Flutter and Firebase. Includes Firebase ML Vision, Firestore, and Storage

The public GitHub repo for the EVHS Programming Club

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

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

Reading notes on deep learning papers---深度学习论文阅读笔记

ddos attack detector using ML Algorithms

A collection of portable workflows, automation recipes and components for MLOps in a unified CK format. Note that this repository is outdated - please check the 2nd generation of the CK workflow automation meta-framework with portable MLOps and DevOps components here:

The Fuzzy Labs guide to the universe of open source MLOps

A declarative KubeFlow Management Tool

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

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

Samples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

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.

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Extensible Combinatorial Optimization Learning Environments

Luk.ai Clients - Federated Machine Learning for Everyone!

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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.

GitHub Action that allows you to attach, create and scale Azure Machine Learning compute resources.

Cheat Sheets for deep learning and machine learning.

The website of Guess.js

Gaussian Naive Bayes (GaussianNB) classifier

A tool for training models to Vertex on Google Cloud Platform.

Allows you to use OpenAI Codex to fix errors in the command line.

TT Hackathon 2018 - Autocomplete for Visual Programming Nodes

TensorFlow Lite Helper for Android to help getting started with TesnorFlow.

Ready to run docker-compose configuration for ML Flow with Mysql and Minio S3

Azure Machine Learning Cheat Sheets