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adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

airflow-chart

The User-Community Airflow Helm Chart is the standard way to deploy Apache Airflow on Kubernetes with Helm. Originally created in 2018, it has since helped thousands of companies create production-ready deployments of Airflow on Kubernetes.

aix360

Interpretability and explainability of data and machine learning models

alibi

Algorithms for explaining machine learning models

alibi-detect

Algorithms for outlier, adversarial and drift detection

argo-cd

Declarative continuous deployment for Kubernetes.

argocd-example-apps

Example Apps to Demonstrate Argo CD

cloud-event-proxy

A simple web app to proxy CloudEvents to GCP PubSub or AWS Kinesis Data Firehose

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

dbt-core

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

dvc

🦉Data Version Control | Git for Data & Models | ML Experiments Management

elyra

Elyra extends JupyterLab with an AI centric approach.

feast

Feature Store for Machine Learning

great_expectations

Always know what to expect from your data.

istioquitter

Istio Quitter

kfp-incubator

A repository for kfp components that are being fleshed out before being promoted to their own repository

kpt

Automate Kubernetes Configuration Editing

kserve

Serverless Inferencing on Kubernetes

kubeflow

Machine Learning Toolkit for Kubernetes

learn-terraform-provision-eks-cluster

manifests

A repository for Kustomize manifests

mlflow

Open source platform for the machine learning lifecycle

mlserver

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

pipelines

Machine Learning Pipelines for Kubeflow

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

seldon-core

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.