environments Training documentation

Training

Environments in this category

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• acft-group-relative-policy-optimization

  Environment used by Group Relative Policy Optimization component

• acft-hf-nlp-data-import

  Environment used by Hugging Face NLP Finetune components

• acft-hf-nlp-gpu

  Environment used by Hugging Face NLP Finetune components

• acft-medimageinsight-adapter-finetune

  AzureML ACFT MedImageInsight Adapter Image for Training

• acft-medimageinsight-embedding

  Environment used by MedImageInsight Embedding Finetune Component

• acft-medimageinsight-embedding-generator

  Environment used by MedImageInsight Embedding Generation component

• acft-mmdetection-image-gpu

  Environment used by MMDetection Image Finetune components

• acft-mmtracking-video-gpu

  Environment used by MMTracking Video Finetune components

• acft-multimodal-gpu

  Environment used by Multimodal classification Finetune components

• acft-transformers-image-gpu

  Environment used by HuggingFace Transformers Image Finetune components

• acpt-automl-image-framework-selector-gpu

  Environment used by framework selector component for automl image workloads

• acpt-pytorch-1.13-cuda11.7

  Recommended environment for Deep Learning with PyTorch on Azure containing the Azure ML SDK with the latest compatible versions of Ubuntu, Python, PyTorch, CUDA\RocM, combined with optimizers like ORT Training,+DeepSpeed+MSCCL+ORT MoE and more. The image introduces preview of new fastcheckpointin...

• acpt-pytorch-2.2-cuda12.1

  Recommended environment for Deep Learning in public preview with PyTorch on Azure containing the Azure ML SDK with the latest compatible versions of Ubuntu, Python, PyTorch, CUDA\RocM, combined with optimizers like ORT Training,+DeepSpeed+MSCCL+ORT MoE and more. The image introduces newly release...

• ai-ml-automl

  An environment used by Azure ML AutoML for training models.

• ai-ml-automl-dnn

  An environment used by Azure ML AutoML for training models.

• ai-ml-automl-dnn-forecasting-gpu

  An environment used by Azure ML AutoML for training models.

• ai-ml-automl-dnn-gpu

  An environment used by Azure ML AutoML for training models.

• ai-ml-automl-dnn-text-gpu

  An environment used by Azure ML AutoML for training models.

• ai-ml-automl-dnn-text-gpu-ptca

  An environment used by Azure ML AutoML for training models.

• ai-ml-automl-dnn-vision-gpu

  An environment used by Azure ML AutoML for training models.

• ai-ml-automl-gpu

  An environment used by Azure ML AutoML for training models.

• amelie-training

  (Private Preview) An environment used by Azure Amelie Agent for training models. This environment is part of a preview feature, and subject to the supplemental terms of use for Microsoft Azure Previews (https://azure.microsoft.com/en-us/support/legal/preview-supplemental-terms/).

• lightgbm-3.3

  An environment for tasks such as regression, clustering, and classification with LightGBM. Contains the Azure ML SDK and additional python packages.

• sklearn-1.0

  An environment for tasks such as regression, clustering, and classification with Scikit-learn. Contains the Azure ML SDK and additional python packages.

• sklearn-1.1

  An environment for tasks such as regression, clustering, and classification with Scikit-learn. Contains the Azure ML SDK and additional python packages.

• sklearn-1.5

  An environment for tasks such as regression, clustering, and classification with Scikit-learn. Contains the Azure ML SDK and additional python packages.

• tensorflow-2.16-cuda11

  An environment for deep learning with Tensorflow containing the Azure ML SDK and additional python packages.

• tensorflow-2.16-cuda12

  An environment for deep learning with Tensorflow containing the Azure ML SDK and additional python packages.