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Description
The possibilities are endless when paired with intelligent editing and comprehensive step-by-step instructions that make everything achievable. You can effortlessly modify, craft, arrange, and distribute your images, transforming cherished moments into lasting treasures. Embrace your creative ally, as the Adobe Sensei AI technology empowers you to enhance, design, organize, and share your images, allowing your creativity to flourish. With 58 guided edits at your disposal, you can accomplish everything from simple tweaks to elaborate artistic endeavors without any uncertainty. Just adhere to the instructions and gain knowledge along the way. Moreover, decluttering becomes a breeze, as Adobe Sensei AI technology enables you to swiftly locate your photos and videos with features like Smart Tags and facial recognition. Your catalog is also automatically safeguarded for easy restoration, ensuring peace of mind as you work. Prepare to elevate your home aesthetics by showcasing your favorite works as stunning wall art or delighting someone special with a heartfelt custom gift that reflects your creativity. Additionally, the ease of sharing your creations makes it simple to spread joy and inspiration with others.
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
Adobe Camera Raw
Yes
Amazon S3
No
DxO FilmPack
Yes
Google Cloud Storage
No
JSON
No
ON1 NoNoise AI
Yes
PyTorch
No
Python
No
TensorFlow
No
scikit-learn
No
Integrations
Adobe Camera Raw
No
Amazon S3
Yes
DxO FilmPack
No
Google Cloud Storage
Yes
JSON
Yes
ON1 NoNoise AI
No
PyTorch
Yes
Python
Yes
TensorFlow
Yes
scikit-learn
Yes
Pricing Details
$74.99
Free Trial
Yes
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
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)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
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
Adobe
Founded
1982
Country
United States
Website
www.adobe.com/products/photoshop-elements.html
Vendor Details
Company Name
Replicate
Country
United States
Website
keepsake.ai/
Product Features
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
