tom5610's Stars
aws/fmeval
Foundation Model Evaluations Library
aws-samples/awsome-distributed-training
Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
chiphuyen/dmls-book
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
aws-samples/aws-efa-nccl-baseami-pipeline
EFA/NCCL base AMI build Packer and CodeBuild/Pipeline files. Also base Docker build files to enable EFA/NCCL in containers
aws-samples/sagemaker-101-workshop
Hands-on demonstrations for data scientists exploring Amazon SageMaker
aws-samples/amazon-sagemaker-studio-vpc-blog
data-science-on-aws/data-science-on-aws
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
awslabs/aws-well-architected-labs
Hands on labs and code to help you learn, measure, and build using architectural best practices.
aws-ia/taskcat
Test all the CloudFormation things! (with TaskCat)