Images displaying a cutting-edge model deployment solution called 'Modelbit'. This innovative platform empowers users to train custom machine learning models using on-demand GPUs available instantly. The standout feature is the ability to deploy trained models from any Python environment, ensuring flexibility and convenience. Users can also infer models deployed in various environments such as Snowflake, Redshift, and dbt through REST APIs. Backed by robust version control, CI/CD, and code revie
Cross-referenced across 55 tracked directories
#9020
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
10/28/2026
First Seen
Recently added to the ecosystem
Score: 100/100
0 dependency vulnerabilities found
Google Inc.
TensorFlow is an open source machine learning framework for everyone.
Abubakar Abid <[email protected]>, Ali Abid <[email protected]>, Ali Abdalla <[email protected]>, Dawood Khan <[email protected]>, Ahsen Khaliq <[email protected]>, Pete Allen <[email protected]>, Ömer Faruk Özdemir <[email protected]>, Freddy A Boulton <[email protected]>, Hannah Blair <[email protected]>
Python library for easily interacting with trained machine learning models
Amazon SageMaker is a fully-managed service that allows data scientists and developers to build, train, and deploy machine learning models quickly and efficiently. This innovative platform eliminates the complexity associated with machine learning, enabling users to focus on creating high-quality models. With its robust suite of tools and features, Amazon SageMaker ensures a streamlined and scalable machine learning workflow, from preparation to deployment.
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