Keras VS Neuralhub

Let’s have a side-by-side comparison of Keras vs Neuralhub to find out which one is better. This software comparison between Keras and Neuralhub 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 Neuralhub fits your business.

Keras

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

Neuralhub

Neuralhub
Neuralhub: Simplify AI development. Create, experiment, and innovate with neural networks. Collaborate, learn, and access resources in one platform.

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

Neuralhub

Launched 2023-7
Pricing Model Free
Starting Price
Tech used Google Analytics,Google Tag Manager,Netlify,Gzip,OpenGraph,HSTS
Tag Software Development

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

Neuralhub Rank/Visit

Global Rank 6878903
Country United States
Month Visit 2171

Top 5 Countries

70.67%
14.53%
8.39%
6.41%
United States Portugal United Kingdom Philippines

Traffic Sources

1.52%
0.34%
0.08%
3.99%
12.85%
80.91%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Keras and Neuralhub, 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