tensorflow / metadataLinks
Utilities for passing TensorFlow-related metadata between tools
☆110Updated 3 months ago
Alternatives and similar repositories for metadata
Users that are interested in metadata are comparing it to the libraries listed below
Sorting:
- Governance of the Keras API.☆144Updated 2 years ago
- Common code for TFX☆67Updated 3 months ago
- struct2tensor is a library for parsing and manipulating structured data inside of tensorflow.☆34Updated last month
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆157Updated last year
- A profiling and performance analysis tool for machine learning☆447Updated this week
- Tensorflow's Fairness Evaluation and Visualization Toolkit☆357Updated 3 months ago
- Python SDK for building, training, and deploying ML models☆337Updated 3 years ago
- Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO☆734Updated 2 months ago
- Developers helping developers. TFX-Addons is a collection of community projects to build new components, examples, libraries, and tools …☆130Updated last year
- The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in …☆382Updated 3 weeks ago
- Small Google Cloud Platform examples and code snippets.☆155Updated 2 years ago
- 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
- TFRecorder makes it easy to create TensorFlow records (TFRecords) from Pandas DataFrames and CSVs files containing images or structured d…☆180Updated 3 years ago
- ☆51Updated 5 years ago
- A deep ranking personalization framework☆133Updated 2 years ago
- Python client for RedisAI☆88Updated 2 years ago
- Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core☆172Updated 3 years ago
- Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)☆65Updated 5 months ago
- Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.☆155Updated 7 years ago
- ☆39Updated 2 years ago
- A toolkit that streamlines and automates the generation of model cards☆440Updated 2 years ago
- ☆59Updated 3 years ago
- Documentation autogeneration utilities.☆30Updated 3 years ago
- ML-Powered Developer Tools, using Kubeflow☆54Updated 3 years ago
- Use Google AI and Cloud Functions to serverlessly enrich structured data coming from ticket submission☆24Updated 4 years ago
- Comet-For-MLFlow Extension☆66Updated last month
- Dockerfiles and scripts for ONNX container images☆138Updated 3 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
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…☆94Updated last year
- MLOps pipeline for NVIDIA Merlin on GKE☆41Updated 4 years ago