Pinned Repositories
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-linux-python3.6
Docker Image for Amazon Linux with Python 3.6
bedrock-latency
Tools to measure latency for LLM in Amazon Bedrook
evaluation-gen-ai
A collection of generative AI evaluation practices for Amazon Bedrock and Amazon SageMaker
LLM-hebrew-classification
LLM-OCR-Evaluation
This repository compares output of LLM structural OCR using different prompting and chaining techniques
ragas-evaluation-and-bedrock-guardrails
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).
gilinachum's Repositories
gilinachum/bedrock-latency
Tools to measure latency for LLM in Amazon Bedrook
gilinachum/LLM-hebrew-classification
gilinachum/LLM-OCR-Evaluation
This repository compares output of LLM structural OCR using different prompting and chaining techniques
gilinachum/evaluation-gen-ai
A collection of generative AI evaluation practices for Amazon Bedrock and Amazon SageMaker
gilinachum/ragas-evaluation-and-bedrock-guardrails
gilinachum/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).
gilinachum/amazon-sagemaker-developer-guide
The open source version of the Amazon SageMaker docs
gilinachum/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
gilinachum/amazon-sagemaker-local-mode
Amazon SageMaker Local Mode Examples
gilinachum/amazon-sagemaker-notebook-instance-lifecycle-config-samples
A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations
gilinachum/awesome
😎 Awesome lists about all kinds of interesting topics
gilinachum/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
gilinachum/chef-pizza-bedrock-multi-agents
A repository demonstrating Bedrock multi-agent use case for a chef pizza resturant
gilinachum/ChurnWorkshop
gilinachum/google-search-image-downloader
gilinachum/keras
gilinachum/ml-workflows-step-functions
gilinachum/my-sagemaker-examples
gilinachum/SageMaker
Examples for using Jurassic-1 models through Amazon SageMaker
gilinachum/sagemaker-examples
gilinachum/sagemaker-processing-tfrecords
gilinachum/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
gilinachum/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.
gilinachum/sagemaker-ssh-helper
A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH
gilinachum/sagemaker-studio-lifecycle-config-examples
gilinachum/sagemaker-tensorflow-extensions
SageMaker specific extensions to TensorFlow.
gilinachum/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.
gilinachum/sagemaker-trainium-inferentia
gilinachum/transcription-testing
Testing of transcription models and services
gilinachum/Useful-Notebooks
Useful Jupyter Notebook to Explain Various AI topcis