761 Open source projects that are alternatives of or similar to Deploy-machine-learning-model

A tool for deploying WebExtensions to multiple stores.

Easily host your iOS and Android builds locally!

A graphical tool to make the deploying of Qt quick applications on linux platform faster

A module for allowing the use of multiple metric functions in scikit's cross_val_score

Laravel package to upload git commits to server(s) via (s)ftp.

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Automatic machine learning for tabular data. ⚡🔥⚡

NYC WiMLDS scikit-learn open source sprint (Aug 24, 2019)

Machine learning in Python with scikit-learn MOOC

Aircraft engine failure prediction model

A tool and library for easily deploying applications on Apache YARN

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

Deploy a Django app on Render

Multi-region blue-green Docker deployments and a whole lot more

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

[EXPERIMENTAL] Demo of using PyTorch 1.0 inside an Android app. Test with your own deep neural network such as ResNet18/SqueezeNet/MobileNet v2 and a phone camera.

Deploy any Machine Learning model serverless in AWS.

Algorithmic trading using machine learning.

A gentle introduction to machine learning: data handling, linear regression, naive bayes, clustering

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.

Tools that make working with scikit-learn and pandas easier.

基于Ansible的自动部署平台-Automatical Deployment Platform Based on Ansible。

Machine Learning for Spot Prices

PMML scoring library for Scala

A library for creating and curating reproducible pipelines for scientific and industrial machine learning

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

🍣 A GitHub Action to publish static website using GitHub Pages

An in-cluster agent that handles Helm based deployments

Developer friendly desktop deployment tool

AutoDeploy is a single configuration deployment library

A Python package for fitting Quinlan's Cubist regression model

Docker image to run Wordmove

| Public | GitHub Action to Create a Release in Octopus Deploy

Minimal Qt deployment for Linux, Windows, macOS and WebAssembly.

📊 Python Flask game that consolidates data from Nasdaq, allowing the user to practice buying and selling stocks.

running redmine on puma installation tutorial (Ubuntu/MySQL)

機器學習: Python

Software platform for clinical neuroimaging studies

Deploy like a boss.

is now deprecated and not supported anymore, use https://github.com/factorial-io/phabalicious instead

Schedule Launch Darkly flags on or off

WOA Deployer

Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)

Python for chemoinformatics

Minimalist server scripts.

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

My textbook for teaching Machine Learning

<Do it! 딥러닝 입문> 도서의 주피터 노트북

An installer that can be chained with other packages to locate the latest VSIXInstaller.exe to use for installing VSIX extensions.

A Docker Image meant for use with CI/CD pipelines

Simple Kubernetes raw manifests deployment tool

(Python) transform a document-term matrix to an Okapi/BM25 representation

| Public | GitHub Action to Push a Package to Octopus Deploy

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

Predict materials properties using only the composition information!

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Implementations of machine learning algorithm by Python 3

A clustering tutorial with scikit-learn for beginners.

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

simple Echo State Networks integrated with scikit-learn