Deployment Libraries

27 Components & Libraries

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Deployment Libraries

Create deployable system images from OS X installer

The award winning AutoDMG takes a macOS installer (10.10 or newer) and builds a system image suitable for deployment with Imagr, DeployStudio, LANrev, Jamf Pro, and other asr-based imaging tools. For…

StackStorm (aka "IFTTT for Ops") is event-driven automation for auto-remediation, incident responses, troubleshooting, deployments, and more for DevOps and SREs. Includes rules engine, workflow, 160 integration packs with 6000+ actions (see https://exchange.stackstorm.org) and ChatOps. Installer at https://docs.stackstorm.com/install/index.html

StackStorm is a platform for integration and automation across services and tools. It ties together your existing infrastructure and application environment so you can more easily automate that envir…

Ansible role to deploy scripting applications like PHP, Python, Ruby, etc. in a capistrano style

Capistrano 2 was a great tool and it still works really well. However, it is not maintained anymore since the original team is working in v3. This new version does not have the same set of features s…

Machine Learning Platform and Recommendation Engine built on Kubernetes

Seldon Server is a machine learning platform that helps your data science team deploy models into production. Seldon supports models built with TensorFlow, Keras, Vowpal Wabbit, XGBoost, Gensim and a…

pypyr task-runner cli & api for automation pipelines. Automate anything by combining commands, different scripts in different languages & applications into one pipeline process.

pypyr is a free & open-source task-runner that lets you define and run sequential steps in a pipeline. Like a turbo-charged shell script, but less finicky. Less annoying than a makefile. pypyr ru…

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

My Projects, Kaggle Competitions and implementation of some popularly known machine learning algorithms. I have also included a list of research papers I have curated in the feild of ML/DL/AI. Follow…

DISCONTINUED: a frozen fork will exist forever at mpdehaan/vespene

Vespene is a reimagined build system and automation console, focused on ease of use and advanced capabilities. Vespene was designed with extremely large micro-service deployments in mind, but it equa…

🤖 Making a Reddit Bot using Python, Heroku and Heroku Postgres.

This repo teaches you how to: In this repo, I have made a Wordbook Bot which gives the meaning of particular word / phrase in the English / Slang language. Wordbook Bot was made to help Redditors: An…

🤖 An automated machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers). Python 3.6 required.

Allie is a framework for building machine learning models from audio, text, image, video, or .CSV files. Intended for both beginners and experts, Allie is designed to be easy-to-use for rapid prototy…

Version 1 of Technical Best Practices of Azure Databricks based on real world Customer and Technical SME inputs

Authors: Dhruv Kumar, Senior Solutions Architect, Databricks Premal Shah, Azure Databricks PM, Microsoft Bhanu Prakash, Azure Databricks PM, Microsoft Written by: Priya Aswani, WW Data Engineering &a…

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

Or, Dataset class provides the flexibility to load image dataset by updating components of the class. Components of Dataset class are: These components can be updated with custom function by the user…

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

FastAPI Tutorials & Deployment Methods to Cloud and on-prem infrastructures

This repository consists of all my Machine Learning Projects.

Deploy-BERT-for-Sentiment-Analysis-with-FastAPI

Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch

Deploy a pre-trained BERT model for Sentiment Analysis as a REST API using FastAPI The model is trained to classify sentiment (negative, neutral, and positive) on a custom dataset from app reviews on…

A Python toolbox for computer vision research and project

Volkscv is a foundational python library for computer vision research and deployment projects It provides the following functionalities. We have tested the following versions of OS and softwares: 1.I…

[USE ALPHA BRANCH] Simple Bot to clone Google Drive Files (or Folders) to your Team Drive[or Normal Drive]. P.S This is not a Mirror Bot. Enjoy ✌🏻

A folder named accounts will be created which will contain keys for the service accounts created NOTE: If you have created SAs in past from this script, you can also just re download the keys by runn…

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

Extraction is a general term for methods of constructing combinations of the variables to get around these problems while still describing the data with sufficient accuracy Data visualization is the …

Deploy a ML inference service on a budget in less than 10 lines of code.

BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end. Clou…

OpenSource self-service infrastructure solution that defines and manages the complete lifecycle of resources used and provisioned into a cloud! It is a terraform UI with rest api for terraform and OpenTofu automation

SLD helps to accelerate deployment, weighting and making IaaC reusable, generating dynamic forms and maintaining different variables in each environment with the same code. With SLD you can schedule…

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

Instantly turn your Python functions into production-ready microservices. Deploy and access your services via HTTP API or interactive UI. Seamlessly export your services into portable, shareable, and…

Scramjet Transform Hub (STH) is a runtime supervisor that can run data processing programs called Sequences and manage local resources on any Linux server, Docker on small edge servers, and even large-scale Kubernetes clusters in the cloud or datacenters. It connects to Scramjet Spaces in Scramjet Cloud Platform.

Scramjet Transform Hub is a cool way to run programs on your computer or in the cloud. It's easy to use, and it supports lots of different types of programs. The Hub is the heart of Scramjet Cloud Pl…

Using the GPT3 Language model, I create a web application that generates convincing looking emails and then sends them via Gmail. The user interacts with a frontend made with Streamlit

DaisyKit is an easy AI toolkit with face mask detection, pose detection, background matting, barcode detection, face recognition and more. - with NCNN, OpenCV, Python wrappers

Install packages from Terminal For Windows, Visual Studio 2019 + Git Bash is recommended. Clone the source code: Build Daisykit: Run face detection example: Build Daisykit: Run face detection example…

The fastest way to deploy AI apps and services on any infra. Unobtrusive, debuggable, PyTorch-like APIs.

Runhouse is built to do four things: The above env list is a shorthand, but you can create quite elaborate envs (even quite a bit more elaborate than the example below). Local folders are sent (rsync…

A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.

You can run Inference on an edge device like an NVIDIA Jetson, or on cloud computing platforms like AWS, GCP, and Azure. Currently, the stream interface only supports object detection Check out Infer…

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