Pinned Repositories
Amazon-Fraud-Detector-Introduction
Introduction to Amazon Fraud Detector
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
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
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
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.
bbonik's Repositories
bbonik/image_enhancement
Library of Python functions for various types of image enhancement
bbonik/facial-landmark-frontalization
Function to frontalize non-frontal 2D facial landmarks generated from the DLIB library
bbonik/facial-expression-analysis
Dimensional estimation of emotions (Arousal, Valence, Intensity) from facial landmarks extracted by DLIB.
bbonik/distributional_dataset_undersampling
Python function to undersample a dataset and enforce a particular distribution across its dimensions
bbonik/AWS-AIML-ondemand-trainings
Unofficial repository of training resources for the AWS Artificial Intelligennce & Machine Learning (AIML) services
bbonik/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.
bbonik/custom-sagemaker-projects-templates
Customer SageMaker Projects MLOps templates
bbonik/Amazon-Fraud-Detector-Introduction
Introduction to Amazon Fraud Detector
bbonik/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)
bbonik/image-augmentations
Simple function for generating affine geometric augmentations on images and bounding boxes.
bbonik/ML-reporting-tools
Library of functions to generate visually pleasing reports for Machine Learning models
bbonik/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.
bbonik/sagemaker-immersion-day
SageMaker Immersion Day
bbonik/sagemaker-workshop-101
Hands-on demonstrations for data scientists exploring SageMaker
bbonik/sagemaker-xgboost-with-hpo
Example of using XGBoost in-built SageMaker algorithm for a binary classification on tabular data, including Hyperparameter optimization.
bbonik/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
bbonik/document-binarization
Document binarization inspired by the OFF center-surround cells of the Human Visual System
bbonik/FM-finetuning
Example notebooks showing how to finetune image and text Foundation Models in Amazon SageMaker Jumpstart.
bbonik/forecast-poc
bbonik/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.
bbonik/productionize-sagemaker-endpoint
bbonik/pyspark-examples
bbonik/quicksight-with-sagemaker
Building a ML inference pipeline in SageMaker and using it in QuickSight to create a predictive dashboards
bbonik/retinal-contrast-glare
A set of (Python & Matlab) functions and examples for estimating the impact of glare on the retinal image.
bbonik/sagemaker-autoscaling-endpoints
A simple demonstration of autoscaling with SageMaker endpoints.
bbonik/textract-python-examples
Demontration of the Python APIs for various use-cases of Amazon Textract