Datatron

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

An open source Java framework that focuses on making integration easier and more accessible to developers.

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.

Azure Websites is a fully managed Platform-as-a-Service (PaaS) that enables you to build, deploy and scale enterprise-grade web Apps in seconds. Focus on your application code, and let Azure take care of the infrastructure to scale and securely run it for you.

It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Quickly build, deploy, and scale web apps created with popular frameworks .NET, .NET Core, Node.js, Java, PHP, Ruby, or Python, in containers or running on any operating system. Meet rigorous, enterprise-grade performance, security, and compliance requirements by using the fully managed platform for your operational and monitoring tasks.

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

MLflow is an open source platform for managing the end-to-end machine learning lifecycle.

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

Cloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications.

Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

It is a platform for creating and sharing software. You can write your code and host it all in the same place. It is also a place to learn how to code.

ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.

It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.

MongoDB Stitch lets developers focus on building applications rather than on managing data manipulation code, service integration, or backend infrastructure. Stitch lets you focus on building the app users want, not on writing boilerplate backend logic.

Host, manage and proxy artifacts using the best Docker Registry, Maven Repository, Gradle repository, NuGet repository, Ruby repository, Debian repository npm repository, Yum repository.

H2O.ai is the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark.

Enables organizations to build, test and deploy applications to production, utilizing continuous delivery practices. They are focused solely on Jenkins as a tool for continuous delivery both on-premises and in the cloud.

It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps.

Deploy apps through our global load balancer with minimal shenanigans. All Fly-enabled applications get free SSL certificates, accept traffic through our global network of datacenters, and encrypt all traffic from visitors through to application servers.

Combining automated deployment, instant hosting and collaborative editing, Gomix gets you straight to coding. The apps you create are instantly live, hosted by us, and always up to date with your latest changes. Build products, prototype ideas, and hack solutions to problems.

It is a set of tools to help developers run TensorFlow models on mobile, embedded, and IoT devices. It enables on-device machine learning inference with low latency and a small binary size.

A state-of-the-art platform for statistical modeling and high-performance statistical computation. Used for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business.

A growing family of Elastic SaaS offerings that make it easy to deploy, operate, and scale Elastic products and solutions in the cloud. From an easy-to-use hosted and managed Elasticsearch experience to powerful, out-of-the-box search solutions.

PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery.

It is a deep learning framework made with expression, speed, and modularity in mind.

It is a canvas for shipping your apps, databases, and more. Go from Zero to Production in minutes. Made for any language, for projects big and small. It is the cloud that takes the complexity out of shipping software.

Envoyer deploys your PHP applications with zero downtime. Just push your code, and let Envoyer deliver your application to one or many servers without interrupting a single customer. In this series, we'll discuss each feature of Envoyer, demonstrating how to use them with a sample project.

It is an extremely easy to use app/database deployment & web server manager for your NodeJS, Python, PHP, ASP.NET, Ruby, MySQL, MongoDB, Postgres, WordPress (and etc...) applications! It's blazingly fast and very robust as it uses Docker, nginx, LetsEncrypt and NetData under the hood behind its simple-to-use interface.

It is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games like Pong or Pinball.

It lets you run machine learning models with a few lines of code, without needing to understand how machine learning works.

It is a much faster way to build and deploy data apps. It gets rid of repetitive grunt work when building and deploying data applications. It abstracts away the micro-management of computing, storage, orchestration, and visualization, letting you focus on your specific app’s logic.

Infuse your apps, websites and bots with intelligent algorithms to see, hear, speak, understand and interpret your user needs through natural methods of communication. Transform your business with AI today.

Anvil is a platform for building and hosting full-stack web apps written entirely in Python. Drag & drop your UI, then write Python on the front-end and back-end to make it all work. Web development has never been this easy (or fast)!

Shelly Cloud is significantly cheaper than other PaaS hosting providers. You save money by getting all services needed to run your application from one provider. We run our own servers, so there is no "Amazon tax" included in our prices. You pay only for what you use with per-hour metered billing.

A deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, it contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly.

Caffe2 is deployed at Facebook to help developers and researchers train large machine learning models and deliver AI-powered experiences in our mobile apps. Now, developers will have access to many of the same tools, allowing them to run large-scale distributed training scenarios and build machine learning applications for mobile.