sameerdattav/trainer
Distributed AI Model Training and Fine-Tuning on Kubernetes
Student at Bits Pilani KK Birla Goa Campus
Distributed AI Model Training and Fine-Tuning on Kubernetes
Generated from alpic-ai/mcp-server-template-nodejs
Kubeflow Central Dashboard is the web interface for Kubeflow
Kubeflow Notebooks runs interactive development environments for AI, ML, and Data workloads on Kubernetes.
Model Registry provides a single pane of glass for ML model developers to index and manage models, versions, and ML artifacts metadata. It fills a gap between model experimentation and production activities. It provides a central interface for all stakeholders in the MLOps lifecycle to collaborate on ML models.
Kubeflow Deployment Manifests
Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
Machine Learning Pipelines for Kubeflow
Universal Python SDK to run AI workloads on Kubernetes
Automated Machine Learning on Kubernetes
A portal for tracking construction site logs