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deep-learning-benchmark-mirror

This is mirror of deep-learning-benchmark

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.

deep-networks

Basic FCNN, CNN, RNN implementations as part of course assignments

deeplearning-benchmark

ece257b_hw1

Homework Programming Problem Codes

gluon-cv

Gluon CV Toolkit

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

incubator-mxnet-ci

Continuous Integration and other infrastructure code that serves Apache MXNet incubating. This repository is not intended for end-users.

jetsonutilities

Get information about the NVIDIA Jetson OS environment. Currently just gets the L4T and kernel versions.

sagemaker-mxnet-training-toolkit

Toolkit for running MXNet training scripts on SageMaker. Dockerfiles used for building SageMaker MXNet Containers are at https://github.com/aws/deep-learning-containers.

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

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.

sagemaker-tensorflow-serving-container

A TensorFlow Serving solution for use in SageMaker.

serving

A flexible, high-performance serving system for machine learning models

tensorflow

An Open Source Machine Learning Framework for Everyone

tool-solutions

Tutorials & examples for Arm software development tools.

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators