bbonik Goto Github PK

amazon-fraud-detector-introduction

Introduction to Amazon Fraud Detector

amazon-sagemaker-examples

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

aws-aiml-ondemand-trainings

Unofficial repository of training resources for the AWS Artificial Intelligennce & Machine Learning (AIML) services

basic-rag-langchain

A basic example of Ritrieval Augmented Generation (RAG) using LangChain and Foundation Models from SageMaker Jumpstart. (example tuned to run with the free AWS accounts)

custom-sagemaker-projects-templates

Customer SageMaker Projects MLOps templates

distributional_dataset_undersampling

Python function to undersample a dataset and enforce a particular distribution across its dimensions

document-binarization

Document binarization inspired by the OFF center-surround cells of the Human Visual System

facial-expression-analysis

Dimensional estimation of emotions (Arousal, Valence, Intensity) from facial landmarks extracted by DLIB.

facial-landmark-frontalization

Function to frontalize non-frontal 2D facial landmarks generated from the DLIB library

fm-finetuning

Example notebooks showing how to finetune image and text Foundation Models in Amazon SageMaker Jumpstart.

forecast-poc

genai-graphs

Generative AI app for automatically generating entity graphs & workflows for a given webpage. The generated content is a rich visual representation of the text and can be used to enrich the given text.

image-augmentations

Simple function for generating affine geometric augmentations on images and bounding boxes.

image_enhancement

Library of Python functions for various types of image enhancement

ml-reporting-tools

Library of functions to generate visually pleasing reports for Machine Learning models

personalize-infrequent-interactions

This notebook shows how to use Amazon Personalize with datasets of infrequent interactions. It particularly shows how to use a combination of SIMS+Personalize Ranking recipes, in order to recommend new items to users, which can give better results for infrequent interactions.

productionize-sagemaker-endpoint

pyspark-examples

quicksight-with-sagemaker

Building a ML inference pipeline in SageMaker and using it in QuickSight to create a predictive dashboards

retinal-contrast-glare

A set of (Python & Matlab) functions and examples for estimating the impact of glare on the retinal image.

sagemaker-autoscaling-endpoints

A simple demonstration of autoscaling with SageMaker endpoints.

sagemaker-immersion-day

SageMaker Immersion Day

sagemaker-workshop-101

Hands-on demonstrations for data scientists exploring SageMaker

sagemaker-xgboost-with-hpo

Example of using XGBoost in-built SageMaker algorithm for a binary classification on tabular data, including Hyperparameter optimization.

shaping_datasets

Mixed Integer Linear Programming for selecting a subset of a dataset, while enforcing at the same time a particular distribution in each dimension. The code uses Matlab's "intlinprog" solver, which is part of the optimization toolbox.

textract-python-examples

Demontration of the Python APIs for various use-cases of Amazon Textract