Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
HCL VersionVault supports organizations by striking a balance between adaptability and the necessary oversight they require. It ensures regulated access to vital soft assets such as code, requirements, design documents, models, schematics, test plans, and test outcomes. The incorporation of user authentication and detailed audit trails simplifies compliance efforts, reducing the administrative burden on your team. With the ability for access almost anywhere and at any time, HCL VersionVault empowers you to work productively in any environment. Whether your team consists of a small group in one place or a large, geographically dispersed unit, HCL VersionVault scales to accommodate your organization’s specific needs. It also promotes flexibility through Integrated Development Environment (IDE) extensions, support for open-source and third-party tools, cross-platform functionality, remote access options, and the ability to operate effectively even when offline. This versatility ensures that teams can remain productive regardless of their location or circumstances.
Description
Keepsake is a Python library that is open-source and specifically designed for managing version control in machine learning experiments and models. It allows users to automatically monitor various aspects such as code, hyperparameters, training datasets, model weights, performance metrics, and Python dependencies, ensuring comprehensive documentation and reproducibility of the entire machine learning process. By requiring only minimal code changes, Keepsake easily integrates into existing workflows, permitting users to maintain their usual training routines while it automatically archives code and model weights to storage solutions like Amazon S3 or Google Cloud Storage. This capability simplifies the process of retrieving code and weights from previous checkpoints, which is beneficial for re-training or deploying models. Furthermore, Keepsake is compatible with a range of machine learning frameworks, including TensorFlow, PyTorch, scikit-learn, and XGBoost, enabling efficient saving of files and dictionaries. In addition to these features, it provides tools for experiment comparison, allowing users to assess variations in parameters, metrics, and dependencies across different experiments, enhancing the overall analysis and optimization of machine learning projects. Overall, Keepsake streamlines the experimentation process, making it easier for practitioners to manage and evolve their machine learning workflows effectively.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon S3
No
Google Cloud Storage
No
JSON
No
PyTorch
No
Python
No
Review Board
Yes
TensorFlow
No
scikit-learn
No
Integrations
Amazon S3
Yes
Google Cloud Storage
Yes
JSON
Yes
PyTorch
Yes
Python
Yes
Review Board
No
TensorFlow
Yes
scikit-learn
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
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)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
HCL Software
Founded
1976
Country
Italy
Website
www.hcltechsw.com/versionvault
Vendor Details
Company Name
Replicate
Country
United States
Website
keepsake.ai/
Product Features
Source Code Management
Access Controls/Permissions
No
Bug Tracking
No
Build Automation
No
Change Management
No
Code Review
No
Collaboration
No
Continuous Integration
No
Repository Management
No
Version Control
No
Version Control
Branch Creation / Deletion
No
Centralized Version History
No
Code Review
No
Code Version Management
No
Collaboration Tools
No
Compare / Merge Branches
No
Digital Asset / Binary File Storage
No
Isolated Code Branches
No
Option to Revert to Previous
No
Pull Requests
No
Roles / Permissions
No
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Version Control
Branch Creation / Deletion
No
Centralized Version History
No
Code Review
No
Code Version Management
No
Collaboration Tools
No
Compare / Merge Branches
No
Digital Asset / Binary File Storage
No
Isolated Code Branches
No
Option to Revert to Previous
No
Pull Requests
No
Roles / Permissions
No