wamartin-aml

azure-rest-api-specs

The source for REST API specifications for Microsoft Azure.

azureml-assets

azureml-inference-server

The AzureML Inference Server is a python package that allows user to easily expose machine learning models as HTTP Endpoints. The server is included by default in AzureML's pre-built docker images for inference.

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

InferenceSchema

Schema decoration for inference code

interpret

Fit interpretable models. Explain blackbox machine learning.

interpret-community

Fit interpretable models. Explain blackbox machine learning.

MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

mlflow

Open source platform for the machine learning lifecycle

pe_class

wamartin-aml/azure-rest-api-specs

The source for REST API specifications for Microsoft Azure.

wamartin-aml/azureml-assets

wamartin-aml/azureml-inference-server

The AzureML Inference Server is a python package that allows user to easily expose machine learning models as HTTP Endpoints. The server is included by default in AzureML's pre-built docker images for inference.

wamartin-aml/DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

wamartin-aml/InferenceSchema

Schema decoration for inference code

wamartin-aml/interpret

Fit interpretable models. Explain blackbox machine learning.

wamartin-aml/interpret-community

Fit interpretable models. Explain blackbox machine learning.

wamartin-aml/MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

wamartin-aml/mlflow

Open source platform for the machine learning lifecycle

wamartin-aml/pe_class

wamartin-aml/tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

wamartin-aml/transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.