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Description

Illuminate the black box and install 3LC to acquire the insights necessary for implementing impactful modifications to your models in no time. Eliminate uncertainty from the training process and enable rapid iterations. Gather metrics for each sample and view them directly in your browser. Scrutinize your training process and address any problems within your dataset. Engage in model-driven, interactive data debugging and improvements. Identify crucial or underperforming samples to comprehend what works well and where your model encounters difficulties. Enhance your model in various ways by adjusting the weight of your data. Apply minimal, non-intrusive edits to individual samples or in bulk. Keep a record of all alterations and revert to earlier versions whenever needed. Explore beyond conventional experiment tracking with metrics that are specific to each sample and epoch, along with detailed data monitoring. Consolidate metrics based on sample characteristics instead of merely by epoch to uncover subtle trends. Connect each training session to a particular dataset version to ensure complete reproducibility. By doing so, you can create a more robust and responsive model that evolves continuously.

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 

Screenshots View All

Screenshots View All

Integrations

PyTorch Yes 
Python Yes 
Amazon S3 No 
Amazon Web Services (AWS) Yes 
Apache Arrow Yes 
Apache Parquet Yes 
Google Cloud Platform Yes 
Google Cloud Storage No 
Google Colab Yes 
Hugging Face Yes 
JSON No 
Jupyter Notebook Yes 
Microsoft Azure Yes 
NumPy Yes 
TensorFlow No 
pandas Yes 
scikit-learn No 

Integrations

PyTorch Yes 
Python Yes 
Amazon S3 Yes 
Amazon Web Services (AWS) No 
Apache Arrow No 
Apache Parquet No 
Google Cloud Platform No 
Google Cloud Storage Yes 
Google Colab No 
Hugging Face No 
JSON Yes 
Jupyter Notebook No 
Microsoft Azure No 
NumPy No 
TensorFlow Yes 
pandas No 
scikit-learn Yes 

Pricing Details

No price information available.
Free Trial No 
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 Yes 
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 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

3LC

Website

3lc.ai/

Vendor Details

Company Name

Replicate

Country

United States

Website

keepsake.ai/

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 

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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