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Description

Data Version Control (DVC) is an open-source system specifically designed for managing version control in data science and machine learning initiatives. It provides a Git-like interface that allows users to systematically organize data, models, and experiments, making it easier to oversee and version various types of files such as images, audio, video, and text. This system helps structure the machine learning modeling process into a reproducible workflow, ensuring consistency in experimentation. DVC's integration with existing software engineering tools is seamless, empowering teams to articulate every facet of their machine learning projects through human-readable metafiles that detail data and model versions, pipelines, and experiments. This methodology promotes adherence to best practices and the use of well-established engineering tools, thus bridging the gap between the realms of data science and software development. By utilizing Git, DVC facilitates the versioning and sharing of complete machine learning projects, encompassing source code, configurations, parameters, metrics, data assets, and processes by committing the DVC metafiles as placeholders. Furthermore, its user-friendly approach encourages collaboration among team members, enhancing productivity and innovation within projects.

Description

TensorFlow is a comprehensive open-source machine learning platform that covers the entire process from development to deployment. This platform boasts a rich and adaptable ecosystem featuring various tools, libraries, and community resources, empowering researchers to advance the field of machine learning while allowing developers to create and implement ML-powered applications with ease. With intuitive high-level APIs like Keras and support for eager execution, users can effortlessly build and refine ML models, facilitating quick iterations and simplifying debugging. The flexibility of TensorFlow allows for seamless training and deployment of models across various environments, whether in the cloud, on-premises, within browsers, or directly on devices, regardless of the programming language utilized. Its straightforward and versatile architecture supports the transformation of innovative ideas into practical code, enabling the development of cutting-edge models that can be published swiftly. Overall, TensorFlow provides a powerful framework that encourages experimentation and accelerates the machine learning process.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon EC2 Trn1 Instances No 
Amazon SageMaker Model Building No 
Azure Marketplace No 
BentoML No 
Database Mart No 
Dataiku No 
Fosfor Decision Cloud No 
Gemini Enterprise Agent Platform No 
Google Cloud Deep Learning VM Image No 
Guild AI No 
IBM Watson Studio No 
ML.NET No 
MLReef No 
Modelbit No 
Pavilion HyperOS No 
Quantiphi Conversational AI No 
Radicalbit No 
RunCode No 
TFLearn No 
Unify AI No 

Integrations

Amazon EC2 Trn1 Instances Yes 
Amazon SageMaker Model Building Yes 
Azure Marketplace Yes 
BentoML Yes 
Database Mart Yes 
Dataiku Yes 
Fosfor Decision Cloud Yes 
Gemini Enterprise Agent Platform Yes 
Google Cloud Deep Learning VM Image Yes 
Guild AI Yes 
IBM Watson Studio Yes 
ML.NET Yes 
MLReef Yes 
Modelbit Yes 
Pavilion HyperOS Yes 
Quantiphi Conversational AI Yes 
Radicalbit Yes 
RunCode Yes 
TFLearn Yes 
Unify AI Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

Web-Based Yes 
On-Premises Yes 
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 Yes 
Live Training (Online) No 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

iterative.ai

Founded

2018

Country

United States

Website

dvc.org

Vendor Details

Company Name

TensorFlow

Founded

2015

Country

United States

Website

www.tensorflow.org

Product Features

Machine Learning

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

Alternatives

Alternatives