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features
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support

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Description

Diversion is a modern, cloud-native alternative to Perforce, built for the scale of today’s game and creative productions. Its architecture supports parallel, asset-heavy workflows with fast branching, real-time collaboration, and stable performance under load, without the IT overhead of traditional version control systems. Built for studios working with engines like Unreal, large environments, procedural pipelines, or multi-disciplinary teams, Diversion adapts to the way modern productions operate. It offers teams that are building ambitious games, virtual productions, and large-scale 3D content, flexible deployment models (cloud or on-prem), seamless migration from Perforce, and an intuitive UI that supports both developers and artists. Diversion is becoming the version control standard for teams looking to iterate faster, automate more, and ship at the speed their projects demand. A few benchmarks: • Branch, commit 100K files and merge back to main in less than 60 sec • Slash costs by up to 70%
(vs. Perforce) • Migrate from P4 in days or even hours (!!!) W/O interrupting production • The most recommended VCS for Unreal ⭐⭐⭐⭐⭐ Key capabilities include: - High-performance version control for very large files and repositories - Scalable cloud, hybrid, and on-prem deployments - Seamless workflows for artists, programmers, and technical teams - Fast syncs via smart caching and proxy architecture - Branching and merging designed for real production pipelines - Asset and code review with modern collaboration features - Native integrations with Unreal Engine and industry-standard tools

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 Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 No 
Git Yes 
Google Cloud Storage No 
JSON No 
PyTorch No 
Python No 
TensorFlow No 
Unity Yes 
Unreal Engine Yes 
scikit-learn No 

Integrations

Amazon S3 Yes 
Git No 
Google Cloud Storage Yes 
JSON Yes 
PyTorch Yes 
Python Yes 
TensorFlow Yes 
Unity No 
Unreal Engine No 
scikit-learn Yes 

Pricing Details

$25 per month
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
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) Yes 
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

Diversion

Country

United States

Website

www.diversion.dev/

Vendor Details

Company Name

Replicate

Country

United States

Website

keepsake.ai/

Product Features

Version Control

Branch Creation / Deletion Yes 
Centralized Version History Yes 
Code Review Yes 
Code Version Management Yes 
Collaboration Tools Yes 
Compare / Merge Branches Yes 
Digital Asset / Binary File Storage Yes 
Isolated Code Branches Yes 
Option to Revert to Previous Yes 
Pull Requests Yes 
Roles / Permissions Yes 

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 

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