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ml-ops

Here are 6 public repositories matching this topic...

dexadata / dexaflow

Apache Airflow-compatible workflow orchestrator, re-engineered in Go: the drop-in Airflow UI and REST API on a single-binary control plane (no Python GIL), with pod-per-task isolation and GitOps-native DAGs. Self-host on one machine (Lite) or Kubernetes (Pro).

Updated Oct 10, 2026
Go

hallucinaut / modelpoison

Detect and defend against AI model poisoning attacks on ML training data

ai-safety ai-security ml-ops data-poisoning adversarial-ml ml-security model-integrity training-security

Updated Feb 25, 2026
Go

davidmontoyago / pulumi-gcp-vertex-model-deployment

Pulumi custom provider to upload a model to the Vertex model registry and optionally deploy it to an Endpoint (both not yet possible with Terraform)

golang gcp pulumi ml-ops vertex-ai

Updated Jan 28, 2026
Go

davidmontoyago / pulumi-gcp-ai-endpoint

Deploy a model and an internet-facing Vertex AI endpoint for real-time predictions with Pulumi and Go.

gcp pulumi ml-ops inference-api vertex-ai

Updated Oct 9, 2025
Go

hallucinaut / adversarial

Detect and defend against adversarial attacks on ML models

deep-learning neural-networks defense anomaly-detection machine-learning-security ai-security ml-ops adversarial-ml

Updated Feb 25, 2026
Go

m0nirul / realtime-model-monitor

A Go-based framework for real-time monitoring, explanation, and drift detection of deployed machine learning models.

go machine-learning real-time-systems explainable-ai ml-ops

Updated Dec 3, 2025
Go

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