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deep-learning-containers
deep-learning-containers PublicForked from aws/deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Python
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sagemaker-pytorch-inference-toolkit
sagemaker-pytorch-inference-toolkit PublicForked from aws/sagemaker-pytorch-inference-toolkit
Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.
Python
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serve
serve PublicForked from pytorch/serve
Serve, optimize and scale PyTorch models in production
Java
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djl-serving
djl-serving PublicForked from deepjavalibrary/djl-serving
A universal scalable machine learning model deployment solution
Java
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sagemaker-huggingface-inference-toolkit
sagemaker-huggingface-inference-toolkit PublicForked from aws/sagemaker-huggingface-inference-toolkit
Python
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vllm
vllm PublicForked from vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
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