README.md

AWS Samples

only for some samples on AWS by me

1.Networking

1.1 AGA(AWS Global Accelerator) - get client ip through aga - python

Get clientIP throught AGA by using the header HTTP_X_FORWARDED_FOR

2.GenAI/AI/Machine Learning

2.1 Amazon Translate

2.1.1 autonomous custom terminology - python

An automonous solution for importing/updating Amazon Translate Custom Terminology in all supported regions.

2.1.2 get_metric_statistics_of_aws_translate_from_cloudwatch - python

A python sample for get_metric_statistics_of_aws_translate_from_cloudwatch.

2.1.3 aws_translate_example - sdk go v2

A go sample with aws go sdk v2 for AWS Translate.

2.1.4 Amazon transcribe translate realtime stream - python

Amazon_transcribe_translate_realtime_stream Amazon_transcribe_translate_realtime_on_Amazon_connect_8kHZ_wav files

2.1.5 Andriod - Amazon transcribe realtime stream - detect silence - java

Andriod - Amazon transcribe realtime stream - detect silence

forked from sinyu1012/aws-transcribe-streaming-example-android

2.2 Amazon SageMaker

2.2.1Autopilot - Customer Churn Prediction with Amazon SageMaker Autopilot

Note:This notebook is derived from Amazon SageMaker examples https://github.com/aws/amazon-sagemaker-examples/blob/main/autopilot/autopilot_customer_churn.ipynb with UCI Bank Marketing Data Set instead of Mobile Customer Data set.

2.2.2 Built-In Algorithm - Deploy CV-Image Classification-model locally

Reference to Amazon SageMaker Example and https://stackoverflow.com/questions/49103679/how-to-deploy-amazon-sagemaker-locally-in-python

For Built-In Algorithm - Deploy CV-Object Detection-model locally, please refer to this github repository

2.2.3 Distributed Training - PyTorch_native_DDP_sample_MNIST

PyTorch_native_DDP_sample_MNIST on Amazon SageMaker

2.2.4 training-wenet-on-Amazon SageMaker - 'examples/librispeech/s0'

training 'examples/librispeech/s0' of wenet on Amazon SageMaker

2.2.5 deepctr-deepfm-tensorflow2.3-sagemaker

deepctr-deepfm tensorflow2.3 on sagemaker

2.2.6 SageMaker-byoc-tf2-byos-deepctr-deepfm

SageMaker byoc tf2 byos deepctr deepfm

2.2.7 SageMaker-byoc-pytorch-byos-malnet-graph

SageMaker byoc pytorch byos Malnet-graph

https://github.com/safreita1/malnet-graph

2.2.8 RWKV_on_Amazon_SageMaker

FineTunning

Deploying

2.2.9 BaiChuan2 on Amazon SageMaker

deploy

LMI-HuggingFaceAccelerate baichuan2-LMI-HuggingFaceAccelerateModel.ipynb

TGI Deploy-Baichuan2-on-TGI-1.1.0.ipynb

finetune - lora

baichun2-finetuning.ipynb

2.2.10 Suno/Bark on Amazon SageMaker

Deploy suno/bark on Amazon SageMaker with BYOS(Bring Your Own Script) jupyter notebook file

2.3 Amazon Bedrock

2.3.1 jupyter_ai_bedrock

how to configure Amazon Bedrock and Amazon SageMaker Endpoint in Jupyter AI

2.3.2 count tokens for bedrock Claude

Amazon API Gateway to AWS Lambda to Amazon Bedrock using SAM - adding the feature of counting token

forked from aws-samples/serverless-patterns