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features
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support

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Write a Review

Description

AutoKeras, an AutoML framework built on Keras, is designed by the DATA Lab at Texas A&M University. Its primary objective is to democratize machine learning, making it accessible to a wider audience. With an exceptionally user-friendly interface, AutoKeras facilitates a variety of tasks, enabling users to engage with machine learning effortlessly. This innovative approach removes many barriers, allowing individuals without extensive technical knowledge to leverage advanced machine learning techniques.

Description

The Gemma family consists of advanced, lightweight models developed using the same innovative research and technology as the Gemini models. These cutting-edge models are equipped with robust security features that promote responsible and trustworthy AI applications, achieved through carefully curated data sets and thorough refinements. Notably, Gemma models excel in their various sizes—2B, 7B, 9B, and 27B—often exceeding the performance of some larger open models. With the introduction of Keras 3.0, users can experience effortless integration with JAX, TensorFlow, and PyTorch, providing flexibility in framework selection based on specific tasks. Designed for peak performance and remarkable efficiency, Gemma 2 is specifically optimized for rapid inference across a range of hardware platforms. Furthermore, the Gemma family includes diverse models that cater to distinct use cases, ensuring they adapt effectively to user requirements. These lightweight language models feature a decoder and have been trained on an extensive array of textual data, programming code, and mathematical concepts, which enhances their versatility and utility in various applications.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Python Yes 
TensorFlow Yes 
Docker Yes 
E2E Cloud Yes 
F# No 
Gemini Enterprise Agent Platform No 
Gemma No 
GitHub Yes 
Google Colab No 
Julia No 
LM-Kit.NET No 
LangChain No 
LlamaCoder No 
NVIDIA DRIVE No 
PyTorch No 
Ruby No 
Scala No 
TypeScript No 
VESSL AI No 
nexos.ai No 

Integrations

Python Yes 
TensorFlow Yes 
Docker No 
E2E Cloud No 
F# Yes 
Gemini Enterprise Agent Platform Yes 
Gemma Yes 
GitHub No 
Google Colab Yes 
Julia Yes 
LM-Kit.NET Yes 
LangChain Yes 
LlamaCoder Yes 
NVIDIA DRIVE Yes 
PyTorch Yes 
Ruby Yes 
Scala Yes 
TypeScript Yes 
VESSL AI Yes 
nexos.ai Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

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

Deployment

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

Customer Support

Business Hours No 
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

AutoKeras

Country

United States

Website

autokeras.com

Vendor Details

Company Name

Google

Country

United States

Website

ai.google.dev/gemma

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

Gemma Reviews

Gemma

Google
Gemma 3 Reviews

Gemma 3

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