Keras VS Google's open Gemma models

Let’s have a side-by-side comparison of Keras vs Google's open Gemma models to find out which one is better. This software comparison between Keras and Google's open Gemma models is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether Keras or Google's open Gemma models fits your business.

Keras

Keras
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Discover the power of Keras: an API designed for human beings. Reduce cognitive load, enhance speed, elegance, and deployability in Machine Learning apps.

Google's open Gemma models

Google's open Gemma models
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Gemma is a family of lightweight, open models built from the research and technology that Google used to create the Gemini models.

Keras

Launched 2015-04
Pricing Model
Starting Price
Tech used Google Tag Manager,Amazon AWS CloudFront,Google Fonts,Bootstrap,Amazon AWS S3
Tag Software Development,Data Science,Code Generation

Google's open Gemma models

Launched 2018-6
Pricing Model Free
Starting Price
Tech used Google Analytics,Google Fonts,Google Cloud Platform,Gzip,HTTP/3,JSON Schema,OpenGraph,OpenSearch,Progressive Web App,HSTS
Tag Data Science

Keras Rank/Visit

Global Rank 147597
Country India
Month Visit 308086

Top 5 Countries

11.24%
7.35%
5.51%
5.37%
4.28%
India United States Germany Indonesia Brazil

Traffic Sources

2.21%
0.71%
0.1%
8%
58.5%
30.45%
social paidReferrals mail referrals search direct

Google's open Gemma models Rank/Visit

Global Rank 0
Country United States
Month Visit 7566928

Top 5 Countries

12.9%
10.92%
8.95%
7.13%
4.92%
United States India China Russia Korea, Republic of

Traffic Sources

1.37%
0.27%
0.02%
8.07%
49.7%
40.58%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Keras and Google's open Gemma models, you can also consider the following products

DeepKE - DeepKE: Unified toolkit for high-precision Knowledge Extraction. Conquer low-resource, multimodal, & document-level data to build robust Knowledge Graphs.

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

DeepInfra - Run the top AI models using a simple API, pay per use. Low cost, scalable and production ready infrastructure.

KeaML Deployments - Streamline your AI development journey with KeaML - pre-configured environments, optimized resources, and collaborative tools. Experience seamless AI projects.

ktransformers - KTransformers, an open - source project by Tsinghua's KVCache.AI team and QuJing Tech, optimizes large - language model inference. It reduces hardware thresholds, runs 671B - parameter models on 24GB - VRAM single - GPUs, boosts inference speed (up to 286 tokens/s pre - processing, 14 tokens/s generation), and is suitable for personal, enterprise, and academic use.

More Alternatives
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Keras VS DeepInfra
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Keras VS ktransformers