This is the Windows app named DVC whose latest release can be downloaded as 3.27.0sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
DVC
DESCRIPTION:
DVC is built to make ML models shareable and reproducible. It is designed to handle large files, data sets, machine learning models, and metrics as well as code. Version control machine learning models, data sets and intermediate files. DVC connects them with code and uses Amazon S3, Microsoft Azure Blob Storage, Google Drive, Google Cloud Storage, Aliyun OSS, SSH/SFTP, HDFS, HTTP, network-attached storage, or disc to store file contents. Version control machine learning models, data sets, and intermediate files. DVC connects them with code and uses Amazon S3, Microsoft Azure Blob Storage, Google Drive, Google Cloud Storage, Aliyun OSS, SSH/SFTP, HDFS, HTTP, network-attached storage, or disc to store file contents. Harness the full power of Git branches to try different ideas instead of sloppy file suffixes and comments in code. Use automatic metric tracking to navigate instead of paper and pencil. DVC introduces lightweight pipelines as a first-class citizen mechanism in Git.
Features
- DVC tracks ML models and data sets
- For machine learning projects
- Open-source Version Control System
- ML project version control
- ML experiment management
- Deployment & Collaboration
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/dvc.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.