tensorflow / metadataLinks
Utilities for passing TensorFlow-related metadata between tools
☆111Updated last week
Alternatives and similar repositories for metadata
Users that are interested in metadata are comparing it to the libraries listed below
Sorting:
- Common code for TFX☆64Updated this week
- Governance of the Keras API.☆145Updated 2 years ago
- Tensorflow's Fairness Evaluation and Visualization Toolkit☆353Updated this week
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆653Updated 4 months ago
- Python SDK for building, training, and deploying ML models☆337Updated 3 years ago
- struct2tensor is a library for parsing and manipulating structured data inside of tensorflow.☆34Updated 4 months ago
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆157Updated 10 months ago
- Repository for assets related to Metadata.☆124Updated 3 years ago
- Developers helping developers. TFX-Addons is a collection of community projects to build new components, examples, libraries, and tools …☆127Updated last year
- A deep ranking personalization framework☆134Updated 2 years ago
- [Deprecated] The TensorFlow Profiler (TFProf) UI provides a visual interface for profiling TensorFlow models.☆136Updated 5 years ago
- A profiling and performance analysis tool for machine learning☆405Updated this week
- TFRecorder makes it easy to create TensorFlow records (TFRecords) from Pandas DataFrames and CSVs files containing images or structured d…☆181Updated 3 years ago
- ☆51Updated 5 years ago
- ☆37Updated 2 years ago
- ☆135Updated 5 years ago
- ML-Powered Developer Tools, using Kubeflow☆55Updated 3 years ago
- The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in …☆380Updated last week
- ML Pipeline Generator is a tool for generating end-to-end pipelines composed of GCP components so that any customer can easily migrate th…☆50Updated 4 years ago
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆93Updated last year
- Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core☆174Updated 3 years ago
- Small Google Cloud Platform examples and code snippets.☆155Updated 2 years ago
- Input pipeline framework☆986Updated 2 weeks ago
- A toolkit that streamlines and automates the generation of model cards☆436Updated 2 years ago
- Model Remediation is a library that provides solutions for machine learning practitioners working to create and train models in a way tha…☆42Updated 2 years ago
- This is an SDK for Google Cloud Explainable AI service. Explainable AI SDK helps users build explanation metadata for their models and vi…☆25Updated 3 years ago
- Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.☆154Updated 6 years ago
- Flow with FlorDB 🌻☆154Updated 2 months ago
- The Data Linter identifies potential issues (lints) in your ML training data.☆88Updated 7 years ago
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆142Updated 9 months ago