Gili Nachum's repositories
bedrock-latency
Tools to measure latency for LLM in Amazon Bedrook
sagemaker-benchmarker
Find the optimal instance type and quantity for ML training and inference using Amazon SageMaker
wikipedia-embedding
Example of how to use word embedding with BlazingText algorithm in Amazon SageMaker on entire contents of wikipedia for a foreign language (Hebrew).
amazon-ec2-user-guide
The open source version of the Amazon EC2 User Guide for Linux. To submit feedback or requests for changes, submit an issue or make changes and submit a pull request.
amazon-sagemaker-developer-guide
The open source version of the Amazon SageMaker docs
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
amazon-sagemaker-local-mode
Amazon SageMaker Local Mode Examples
amazon-sagemaker-notebook-instance-lifecycle-config-samples
A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations
aws-cfn-windows-hpc-template
This sample CloudFormation template will launch a Windows-based HPC cluster running Windows Server 2012R2 and supporting core infrastructure including VPC, domain controllers and bastion servers.
aws-neuron-sdk
Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services
SageMaker
Examples for using Jurassic-1 models through Amazon SageMaker
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-ssh-helper
A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH
sagemaker-tensorflow-extensions
SageMaker specific extensions to TensorFlow.
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.
transcription-testing
Testing of transcription models and services
Useful-Notebooks
Useful Jupyter Notebook to Explain Various AI topcis