161 Open source projects that are alternatives of or similar to docker-containers

Create delightful python projects using Jupyter Notebooks

A library for managing, validating, summarizing, and visualizing data.

The Fuzzy Labs guide to the universe of open source MLOps

“云上炼丹师”中的云

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.

A collection of WhyLogs examples in various languages

Deploy your Flask web app classifier on Heroku which is written using fastai library.

Python environment comparison tool

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

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

Conda documentation

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

The goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalability, monitoring and engineering of the solution.

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

MLOps template with examples for Data pipelines, ML workflow management, API development and Monitoring.

A set of demo of deploying a Machine Learning Model in production using various methods

Operationalize a video anomaly detection model with Azure ML

Kuzushiji Recognition Kaggle 2019. Build a DL model to transcribe ancient Kuzushiji into contemporary Japanese characters. Opening the door to a thousand years of Japanese culture.

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

Multivariate data modelling with Copulas in Python

All content related to machine learning from my blog

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 Note that this repository is outdated - please check the 2nd generation of the CK workflow automation meta-framework with portable MLOps and DevOps components here:

No description or website provided.

Engine for ML/Data tracking, visualization, dashboards, and model UI for Polyaxon.

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.

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Genre Classification using Convolutional Neural Networks

Deploy fastai models with Docker

A workflow to build models of the European electricity system for Calliope.

fast.ai starter kit for Google Landmark Retrieval 2019 challenge

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

Serving TensorFlow models with TensorFlow Serving 📙

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

PyTorch wheels (whl) & conda for aarch64 / ARMv8 / ARM64

Machine Learning Operator & Controller for Kubernetes

A VSCode extension to generate development environments using micromamba and conda-forge package repository

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.

GitHub Action that allows you to create or connect to your Azure Machine Learning Workspace.

A conda tool to work with multiple projects in development mode.

conda recipes for freecad and dependencies of freecad

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

Lightweight lockfile for conda environments

digging the endless treasures of fastai

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

A fastai/PyTorch package for unpaired image-to-image translation.

Reproducible bioinformatics pipelines in python. Import any Unix tool/command in python.

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.

A generic template for building end-to-end machine learning projects

A declarative KubeFlow Management Tool

Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.

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

Rapid builds of small Conda-based containers using micromamba.

🦅 Deep Learning awesome cheatsheet

Tibanna helps you run your genomic pipelines on Amazon cloud (AWS). It is used by the 4DN DCIC (4D Nucleome Data Coordination and Integration Center) to process data. Tibanna supports CWL/WDL (w/ docker), Snakemake (w/ conda) and custom Docker/shell command.

Network Intrusion Detection System using Deep Learning Techniques

Crane is a easy-to-use and beautiful desktop application helps you build manage your container images.

Tutorial on building and deploying a Mobile Deep Learning Classifier for food

Image dataset from Instagram of people wearing medical masks, no mask, or a non-medical (DIY) mask

The James Webb Space Telescope Quicklook Application

Notebooks for Fastai Viusal Guide