shashankprasanna

ai-accelerators-examples

Examples of AI Accelerators - GPU, AWS Inferential and Elastic Inference

kubeflow-pipelines-sagemaker-examples

Examples for using Amazon SageMaker components in Kubeflow Pipelines

torchserve-examples

Repository with torchserve examples

pytorch-sagemaker-distributed-workshop

sagemaker-spot-training

pytorch-examples

A repository of PyTorch example

sagemaker-experiments-examples

amer-summit-aug21-workshop

sagemaker-video-examples

Repository for code examples for 2021 sagemaker launches

aws-innovate2021-demos

Demos supporting sessions at aws innovate 2021

deeplearning-on-aws

pytorch2-workshop-examples

max

A collection of sample programs, notebooks, and tools which highlight the power of the MAX platform

sagemaker-amer-summit-workshop

sagemaker-workshop-2021

Workshop content for Getting Started with Amazon SageMaker

aws-devdays2021-demos

shashankprasanna.github.io

.tmux

🇫🇷 Oh My Tmux! My pretty + versatile tmux configuration that just works (imho the best tmux configuration)

aws-dl1-workshop-2022

mojo

The Mojo Programming Language

sagemaker-fridays-custom-environments

sagemaker-training-tutorial

studiolab-access-sagemaker-examples

shashankprasanna

amazon-sagemaker-developer-guide

The open source version of the Amazon SageMaker docs

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

amer-ml-workshop

dl-sagemaker-workshop

ml-summit-hml307-talk

Demos used for ML Summit talk: HML 307 Accelerate deep learning in the cloud with custom ML environments

nvidia-gtc-fall-2020-talks