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Kubeflow Training Operator is a Kubernetes-native project for fine-tuning and scalable distributed training of machine learning (ML) models created with various ML frameworks such as PyTorch, TensorFlow, XGBoost, MPI, Paddle, and others.
Features
- TensorFlow Release Only
- Python SDK for Kubeflow Training Operator
- Documentation available
- Examples available
- TensorFlow API Definition
- Use Kubernetes workloads to effectively train your large models via Kubernetes Custom Resources APIs
- Use Training Operator Python SDK
Project Samples
Categories
Machine LearningLicense
Apache License V2.0Follow Kubeflow Training Operator
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