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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.

Description

ML Kit offers mobile developers access to Google's extensive machine learning capabilities in a streamlined and user-friendly format. By integrating ML Kit into your iOS and Android applications, you can enhance user engagement, personalization, and overall utility with solutions specifically designed to operate seamlessly on devices. The on-device processing ensures rapid performance and enables real-time applications, such as analyzing camera input. Furthermore, ML Kit functions offline, allowing for the secure processing of images and text that must stay on the device. This technology is built on the same machine learning models that support Google's mobile services, combining cutting-edge algorithms with sophisticated processing techniques through easily accessible APIs to facilitate impactful functionalities in your applications. Additionally, it can identify handwritten text and recognize hand-drawn shapes, including over 300 languages, emojis, and fundamental shapes. This versatility makes ML Kit an invaluable tool for developers looking to innovate and elevate their mobile offerings.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 Yes 
Androidfy No 
Firebase No 
Google Cloud Storage Yes 
JSON Yes 
PyTorch Yes 
Python Yes 
TensorFlow Yes 
scikit-learn Yes 

Integrations

Amazon S3 No 
Androidfy Yes 
Firebase Yes 
Google Cloud Storage No 
JSON No 
PyTorch No 
Python No 
TensorFlow No 
scikit-learn No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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 Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Replicate

Country

United States

Website

keepsake.ai/

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

developers.google.com/ml-kit

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 

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 

Mobile App Development

Access Controls / Permissions No 
Any App Development Language No 
Collaboration Tools No 
Compatibility Testing No 
Data Modeling No 
Debugging No 
Drag and Drop Editor No 
Enterprise Mobility (EMM/MAM) No 
FaceID and TouchID No 
For Consumer Apps No 
For Enterprise Apps No 
Integration Options No 
Mobile App Security No 
Multi-Factor Authentication (MFA) No 
Multiple Apps from Same Base No 
No Dependencies No 
No-Code No 
Reporting / Analytics No 
Single Sign-On (SSO) No 
Source Control No 
Visual Editor No 

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