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Description
AWS CodeCommit is a fully-managed service that provides secure Git-based repositories for source control. It facilitates collaboration among teams on code within a secure and scalable framework. By using CodeCommit, teams can avoid the complexities of managing their own source control systems and scaling infrastructure. This service allows for the secure storage of a variety of assets, ranging from source code to binaries, and integrates smoothly with existing Git tools. Supporting all Git commands, AWS CodeCommit ensures compatibility with your favorite development environment tools, continuous integration and delivery systems, as well as graphical clients. Additionally, it positions your repositories close to your build, staging, and production setups in the AWS cloud. By enabling the transfer of incremental changes rather than the complete application, CodeCommit enhances the speed and frequency of the development lifecycle, ultimately leading to more efficient workflows. Such features make AWS CodeCommit a compelling choice for teams looking to streamline their development processes.
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
API Access
Has API
Integrations
AWS CodeStar
Amazon CodeGuru
Amazon S3
Amplication
Codekeeper
Copado
Crafter CMS
Cycloid
Flosum
Google Cloud Storage
Integrations
AWS CodeStar
Amazon CodeGuru
Amazon S3
Amplication
Codekeeper
Copado
Crafter CMS
Cycloid
Flosum
Google Cloud Storage
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/codecommit/
Vendor Details
Company Name
Replicate
Country
United States
Website
keepsake.ai/
Product Features
Source Code Management
Access Controls/Permissions
Bug Tracking
Build Automation
Change Management
Code Review
Collaboration
Continuous Integration
Repository Management
Version Control
Version Control
Branch Creation / Deletion
Centralized Version History
Code Review
Code Version Management
Collaboration Tools
Compare / Merge Branches
Digital Asset / Binary File Storage
Isolated Code Branches
Option to Revert to Previous
Pull Requests
Roles / Permissions
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Version Control
Branch Creation / Deletion
Centralized Version History
Code Review
Code Version Management
Collaboration Tools
Compare / Merge Branches
Digital Asset / Binary File Storage
Isolated Code Branches
Option to Revert to Previous
Pull Requests
Roles / Permissions