Alternatives and similar repositories for ml-metadata

Users that are interested in ml-metadata are comparing it to the libraries listed below

• tensorflow / data-validation
  Library for exploring and validating machine learning data
  ☆771Updated this week
• kubeflow-kale / kale
  Kubeflow’s superfood for Data Scientists
  ☆636Updated last week
• kubeflow / katib
  Automated Machine Learning on Kubernetes
  ☆1,587Updated last week
• kubeflow / fairing
  Python SDK for building, training, and deploying ML models
  ☆337Updated 3 years ago
• tensorflow / tfx
  TFX is an end-to-end platform for deploying production ML pipelines
  ☆2,147Updated this week
• tensorflow / io
  Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO
  ☆728Updated last week
• tensorflow / tfx-addons
  Developers helping developers. TFX-Addons is a collection of community projects to build new components, examples, libraries, and tools …
  ☆126Updated last year
• kserve / website
  User documentation for KServe.
  ☆106Updated this week
• thoughtworks / mlops-platforms
  Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
  ☆390Updated 2 years ago
• kubeflow / metadata
  Repository for assets related to Metadata.
  ☆124Updated 3 years ago
• loglabs / mltrace
  Coarse-grained lineage and tracing for machine learning pipelines.
  ☆469Updated 2 years ago
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆148Updated 11 months ago
• logicalclocks / hopsworks
  Hopsworks - Data-Intensive AI platform with a Feature Store
  ☆1,229Updated 4 months ago
• tensorflow / model-card-toolkit
  A toolkit that streamlines and automates the generation of model cards
  ☆434Updated last year
• NVIDIA-Merlin / NVTabular
  NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…
  ☆1,089Updated 9 months ago
• uber / petastorm
  Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet f…
  ☆1,840Updated last year
• SeldonIO / tempo
  MLOps Python Library
  ☆119Updated 3 years ago
• mlspec / MLSpec
  Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML p…
  ☆93Updated last year
• tensorflow / metadata
  Utilities for passing TensorFlow-related metadata between tools
  ☆109Updated last month
• SeldonIO / MLServer
  An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
  ☆816Updated this week
• intro-to-ml-with-kubeflow / intro-to-ml-with-kubeflow-examples
  [WIP] Examples for the Intro to ML with Kubeflow book
  ☆205Updated 3 years ago
• datarevenue-berlin / OpenMLOps
  ☆704Updated 2 years ago
• pytorch / elastic
  PyTorch elastic training
  ☆728Updated 3 years ago
• uber / neuropod
  A uniform interface to run deep learning models from multiple frameworks
  ☆934Updated last year
• pytorch / torcharrow
  High performance model preprocessing library on PyTorch
  ☆650Updated last year
• onnx / sklearn-onnx
  Convert scikit-learn models and pipelines to ONNX
  ☆587Updated 3 weeks ago
• machine-learning-apps / actions-ml-cicd
  A Collection of GitHub Actions That Facilitate MLOps
  ☆208Updated 2 years ago
• kubeflow / example-seldon
  Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core
  ☆174Updated 3 years ago
• operatorai / modelstore
  🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…
  ☆391Updated 5 months ago
• PAIR-code / what-if-tool
  Source code/webpage/demos for the What-If Tool
  ☆959Updated 9 months ago