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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Harness the power of your data and create innovative artificial intelligence (AI) solutions using Azure Databricks, where you can establish your Apache Spark™ environment in just minutes, enable autoscaling, and engage in collaborative projects within a dynamic workspace. This platform accommodates multiple programming languages such as Python, Scala, R, Java, and SQL, along with popular data science frameworks and libraries like TensorFlow, PyTorch, and scikit-learn. With Azure Databricks, you can access the most current versions of Apache Spark and effortlessly connect with various open-source libraries. You can quickly launch clusters and develop applications in a fully managed Apache Spark setting, benefiting from Azure's expansive scale and availability. The clusters are automatically established, optimized, and adjusted to guarantee reliability and performance, eliminating the need for constant oversight. Additionally, leveraging autoscaling and auto-termination features can significantly enhance your total cost of ownership (TCO), making it an efficient choice for data analysis and AI development. This powerful combination of tools and resources empowers teams to innovate and accelerate their projects like never before.

Description

Luminoth is an open-source framework designed for computer vision applications, currently focusing on object detection but with aspirations to expand its capabilities. As it is in the alpha stage, users should be aware that both internal and external interfaces, including the command line, are subject to change as development progresses. For those interested in utilizing GPU support, it is recommended to install the GPU variant of TensorFlow via pip with the command pip install tensorflow-gpu; alternatively, users can opt for the CPU version by executing pip install tensorflow. Additionally, Luminoth offers the convenience of installing TensorFlow directly by using either pip install luminoth[tf] or pip install luminoth[tf-gpu], depending on the desired TensorFlow version. Overall, Luminoth represents a promising tool in the evolving landscape of computer vision technology.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Dagster Yes 
Dasera Yes 
Data Commerce Cloud Yes 
Datagaps ETL Validator Yes 
Drivetrain Yes 
EquityZen Yes 
Google Cloud Platform No 
Hackolade Yes 
Herus Yes 
LynxCare Yes 
Mage Sensitive Data Discovery Yes 
Medical LLM Yes 
Microsoft Fabric Yes 
Microsoft Intelligent Data Platform Yes 
STRM Yes 
Signara Yes 
StarfishETL Yes 
Syntho Yes 
Zing Data Yes 
just words Yes 

Integrations

Dagster No 
Dasera No 
Data Commerce Cloud No 
Datagaps ETL Validator No 
Drivetrain No 
EquityZen No 
Google Cloud Platform Yes 
Hackolade No 
Herus No 
LynxCare No 
Mage Sensitive Data Discovery No 
Medical LLM No 
Microsoft Fabric No 
Microsoft Intelligent Data Platform No 
STRM No 
Signara No 
StarfishETL No 
Syntho No 
Zing Data No 
just words No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/databricks/

Vendor Details

Company Name

luminoth

Website

pypi.org/project/luminoth/

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Product Features

Alternatives

Alternatives

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