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What is Sumocode?

Creating applications and games has become remarkably accessible, enabling you to dive into coding with just a few simple lines of code while learning through fun, gamified examples. You have the flexibility to remix existing code samples or craft entirely new creations, and by leveraging JavaScript, you'll soon discover how easy it can be to develop games with minimal hassle. Unlock your creative potential with Sumocode, a platform that encourages innovation and the design of unique projects! No matter your age—whether you're 5, 55, or even 105—this journey into coding is open to everyone, allowing you to enhance your skill set and acquire valuable programming abilities. Sumocode is specifically tailored to help you navigate the early phases of becoming a programmer, demonstrating that the coding process is more approachable than many might think. You'll master the art of assembling apps and writing code snippets effortlessly, especially with the support of our Sumo3D code library, which serves as a robust foundation for your projects. The choice is yours: you can either expand on our provided examples or start fresh, paving the way for limitless opportunities in your coding pursuits. Step into the exciting realm of programming and explore the endless possibilities that await you as your creativity blossoms! Embrace the adventure, and watch as your skills grow and develop along the way!

What is Ray?

You can start developing on your laptop and then effortlessly scale your Python code across numerous GPUs in the cloud. Ray transforms conventional Python concepts into a distributed framework, allowing for the straightforward parallelization of serial applications with minimal code modifications. With a robust ecosystem of distributed libraries, you can efficiently manage compute-intensive machine learning tasks, including model serving, deep learning, and hyperparameter optimization. Scaling existing workloads is straightforward, as demonstrated by how Pytorch can be easily integrated with Ray. Utilizing Ray Tune and Ray Serve, which are built-in Ray libraries, simplifies the process of scaling even the most intricate machine learning tasks, such as hyperparameter tuning, training deep learning models, and implementing reinforcement learning. You can initiate distributed hyperparameter tuning with just ten lines of code, making it accessible even for newcomers. While creating distributed applications can be challenging, Ray excels in the realm of distributed execution, providing the tools and support necessary to streamline this complex process. Thus, developers can focus more on innovation and less on infrastructure.

Media

Media

Integrations Supported

Python
Amazon EC2 Trn2 Instances
Amazon SageMaker
Amazon Web Services (AWS)
Anyscale
Apache Airflow
C
C++
Databricks Data Intelligence Platform
Feast
Flyte
Google Cloud Platform
Java
JavaScript
Kubernetes
MLflow
PyTorch
Snowflake
TensorFlow
io.net

Integrations Supported

Python
Amazon EC2 Trn2 Instances
Amazon SageMaker
Amazon Web Services (AWS)
Anyscale
Apache Airflow
C
C++
Databricks Data Intelligence Platform
Feast
Flyte
Google Cloud Platform
Java
JavaScript
Kubernetes
MLflow
PyTorch
Snowflake
TensorFlow
io.net

API Availability

Has API

API Availability

Has API

Pricing Information

$9 per month
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sumo Apps

Company Location

Finland

Company Website

sumo.app/sumocode

Company Facts

Organization Name

Anyscale

Date Founded

2019

Company Location

United States

Company Website

ray.io

Categories and Features

Code Editors

API
Auto-Complete
Code Folding
Column Editing
Customizable Themes
Debugging
Formatting / Table Editing
Keyboard Shortcuts
Multi-Monitor Editing
Syntax Highlighting
WYSIWYG

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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