Keepsake

Keepsake

Replicate
+
+

Related Products

  • RunPod
    220 Ratings
    Visit Website
  • QBench
    149 Ratings
    Visit Website
  • Lockbox LIMS
    72 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    983 Ratings
    Visit Website
  • QEval
    30 Ratings
    Visit Website
  • Google Cloud BigQuery
    2,017 Ratings
    Visit Website
  • LabWare LIMS
    113 Ratings
    Visit Website
  • Bright Data
    1,404 Ratings
    Visit Website
  • Cloudflare
    2,026 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website

About

Light up the black box and pip install 3LC to gain the clarity you need to make meaningful changes to your models in moments. Remove the guesswork from your model training and iterate fast. Collect per-sample metrics and visualize them in your browser. Analyze your training and eliminate issues in your dataset. Model-guided, interactive data debugging and enhancements. Find important or inefficient samples. Understand what samples work and where your model struggles. Improve your model in different ways by weighting your data. Make sparse, non-destructive edits to individual samples or in a batch. Maintain a lineage of all changes and restore any previous revisions. Dive deeper than standard experiment trackers with per-sample per epoch metrics and data tracking. Aggregate metrics by sample features, rather than just epoch, to spot hidden trends. Tie each training run to a specific dataset revision for full reproducibility.

About

Keepsake is an open-source Python library designed to provide version control for machine learning experiments and models. It enables users to automatically track code, hyperparameters, training data, model weights, metrics, and Python dependencies, ensuring that all aspects of the machine learning workflow are recorded and reproducible. Keepsake integrates seamlessly with existing workflows by requiring minimal code additions, allowing users to continue training as usual while Keepsake saves code and weights to Amazon S3 or Google Cloud Storage. This facilitates the retrieval of code and weights from any checkpoint, aiding in re-training or model deployment. Keepsake supports various machine learning frameworks, including TensorFlow, PyTorch, scikit-learn, and XGBoost, by saving files and dictionaries in a straightforward manner. It also offers features such as experiment comparison, enabling users to analyze differences in parameters, metrics, and dependencies across experiments.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and professionals seeking a solution to improve their model training operations

Audience

Developers in need of a tool to manage their code and enhance the efficiency of their workflows

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

3LC
3lc.ai/

Company Information

Replicate
United States
keepsake.ai/

Alternatives

Create ML

Create ML

Apple

Alternatives

TensorBoard

TensorBoard

Tensorflow
AcqKnowledge

AcqKnowledge

BIOPAC Systems

Categories

Categories

Integrations

PyTorch
Python
Amazon S3
Amazon Web Services (AWS)
Apache Arrow
Apache Parquet
Google Cloud Platform
Google Cloud Storage
Google Colab
Hugging Face
JSON
Jupyter Notebook
Microsoft Azure
NumPy
TensorFlow
pandas
scikit-learn

Integrations

PyTorch
Python
Amazon S3
Amazon Web Services (AWS)
Apache Arrow
Apache Parquet
Google Cloud Platform
Google Cloud Storage
Google Colab
Hugging Face
JSON
Jupyter Notebook
Microsoft Azure
NumPy
TensorFlow
pandas
scikit-learn
Claim 3LC and update features and information
Claim 3LC and update features and information
Claim Keepsake and update features and information
Claim Keepsake and update features and information