Ray

Ray

Anyscale
+
+

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About

Neuralhub is a system that makes working with neural networks easier, helping AI enthusiasts, researchers, and engineers to create, experiment, and innovate in the AI space. Our mission extends beyond providing tools; we're also creating a community, a place to share and work together. We aim to simplify the way we do deep learning today by bringing all the tools, research, and models into a single collaborative space, making AI research, learning, and development more accessible. Build a neural network from scratch or use our library of common network components, layers, architectures, novel research, and pre-trained models to experiment and build something of your own. Construct your neural network with one click. Visually see and interact with every component in the network. Easily tune hyperparameters such as epochs, features, labels and much more.

About

Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

DevOps teams looking for a platform for deep learning experimentation

Audience

ML and AI Engineers, Software Developers

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Open source. Consumption-based.
Free Version Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Neuralhub
neuralhub.ai/

Company Information

Anyscale
Founded: 2019
United States
ray.io

Alternatives

Neural Designer

Neural Designer

Artelnics

Alternatives

Categories

Deep Learning Supported
Neural Network Supported

Categories

Deep Learning Supported
Machine Learning Supported

Integrations

Amazon EC2 Trn2 Instances Not Supported
Amazon EKS Not Supported
Amazon SageMaker Not Supported
Amazon Web Services (AWS) Not Supported
Anyscale Not Supported
Apache Airflow Not Supported
Azure Kubernetes Service (AKS) Not Supported
Dask Not Supported
Databricks Not Supported
Feast Not Supported
Flyte Not Supported
Google Cloud Platform Not Supported
Google Kubernetes Engine (GKE) Not Supported
Kubernetes Not Supported
LanceDB Not Supported
MLflow Not Supported
PyTorch Not Supported
Python Not Supported
Snowflake Not Supported
io.net Not Supported

Integrations

Amazon EC2 Trn2 Instances Supported
Amazon EKS Supported
Amazon SageMaker Supported
Amazon Web Services (AWS) Supported
Anyscale Supported
Apache Airflow Supported
Azure Kubernetes Service (AKS) Supported
Dask Supported
Databricks Supported
Feast Supported
Flyte Supported
Google Cloud Platform Supported
Google Kubernetes Engine (GKE) Supported
Kubernetes Supported
LanceDB Supported
MLflow Supported
PyTorch Supported
Python Supported
Snowflake Supported
io.net Supported
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