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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

audio

Data manipulation and transformation for audio signal processing, powered by PyTorch

aws-codebuild-docker-images

Official AWS CodeBuild repository for managed Docker images http://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref.html

contrastive-unpaired-translation

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

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-learning-models

Natural language processing & computer vision models optimized for AWS

djl

An Engine-Agnostic Deep Learning Framework in Java

djl-serving

A universal scalable machine learning model deployment solution

dl

dvrk_vision

models

Models and examples built with TensorFlow

notebooks

Notebooks using the Hugging Face libraries 🤗

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

sagemaker-debugger

Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors

sagemaker-python-sdk

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

sagemaker-pytorch-training-toolkit

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

sagemaker-tensorflow-training-toolkit

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

sagemaker-training-toolkit

Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

spade

tensorrt-llm

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

transformers

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

tvm

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

xla

Enabling PyTorch on Google TPU