Keepsake

Keepsake

Replicate
TensorBoard

TensorBoard

Tensorflow
+
+

Related Products

  • Vertex AI
    743 Ratings
    Visit Website
  • Google Cloud Run
    286 Ratings
    Visit Website
  • Teradata VantageCloud
    975 Ratings
    Visit Website
  • RunPod
    180 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • PackageX OCR Scanning
    46 Ratings
    Visit Website
  • XpertCoding
    42 Ratings
    Visit Website
  • Twilio
    1,319 Ratings
    Visit Website
  • Datasite Diligence Virtual Data Room
    541 Ratings
    Visit Website
  • Windsurf Editor
    148 Ratings
    Visit Website

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.

About

TensorBoard is TensorFlow's comprehensive visualization toolkit designed to facilitate machine learning experimentation. It enables users to track and visualize metrics such as loss and accuracy, visualize the model graph (operations and layers), view histograms of weights, biases, or other tensors as they change over time, project embeddings to a lower-dimensional space, and display images, text, and audio data. Additionally, TensorBoard offers profiling capabilities to optimize TensorFlow programs. These features collectively provide a suite of tools to understand, debug, and optimize TensorFlow programs, enhancing the machine learning workflow. In machine learning, to improve something you often need to be able to measure it. TensorBoard is a tool for providing the measurements and visualizations needed during the machine learning workflow. It enables tracking experiment metrics, visualizing the model graph, and projecting embeddings to a lower dimensional space.

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

Audience

Developers looking for a solution to optimize their TensorFlow programs

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

Free
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

Replicate
United States
keepsake.ai/

Company Information

Tensorflow
United States
www.tensorflow.org/tensorboard

Alternatives

Alternatives

Visdom

Visdom

Meta
TensorBoard

TensorBoard

Tensorflow
Keepsake

Keepsake

Replicate
TF-Agents

TF-Agents

Tensorflow

Categories

Categories

Integrations

TensorFlow
Amazon S3
Dataoorts GPU Cloud
GitHub
Google Cloud Storage
Google Colab
Intel Tiber AI Studio
JSON
LLaMA-Factory
Ludwig
PyTorch
Python
scikit-learn

Integrations

TensorFlow
Amazon S3
Dataoorts GPU Cloud
GitHub
Google Cloud Storage
Google Colab
Intel Tiber AI Studio
JSON
LLaMA-Factory
Ludwig
PyTorch
Python
scikit-learn
Claim Keepsake and update features and information
Claim Keepsake and update features and information
Claim TensorBoard and update features and information
Claim TensorBoard and update features and information