Pinned Repositories
amazon-sagemaker-autopilot-feature-engineering-transformer-and-model-explainability
This repository contains sample code to generate SHAP plots out of the SageMaker autopilot.
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
create-react-app-auth-amplify
Implements a basic authentication flow for signing up/signing in users as well as protected client side routing using AWS Amplify.
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
katacoda-scenarios
Katacoda Scenarios
material-dashboard-react
React version of Material Dashboard by Creative Tim
mvts_transformer
Multivariate Time Series Transformer, public version
sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
service-workbench-on-aws
A platform that provides researchers with one-click access to collaborative workspace environments operating across teams, universities, and datasets while enabling university IT stakeholders to manage, monitor, and control spending, apply security best practices, and comply with corporate governance.
solaris
CosmiQ Works Geospatial Machine Learning Analysis Toolkit
AWS-Bassem's Repositories
AWS-Bassem/amazon-sagemaker-autopilot-feature-engineering-transformer-and-model-explainability
This repository contains sample code to generate SHAP plots out of the SageMaker autopilot.
AWS-Bassem/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
AWS-Bassem/create-react-app-auth-amplify
Implements a basic authentication flow for signing up/signing in users as well as protected client side routing using AWS Amplify.
AWS-Bassem/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
AWS-Bassem/katacoda-scenarios
Katacoda Scenarios
AWS-Bassem/material-dashboard-react
React version of Material Dashboard by Creative Tim
AWS-Bassem/mvts_transformer
Multivariate Time Series Transformer, public version
AWS-Bassem/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
AWS-Bassem/service-workbench-on-aws
A platform that provides researchers with one-click access to collaborative workspace environments operating across teams, universities, and datasets while enabling university IT stakeholders to manage, monitor, and control spending, apply security best practices, and comply with corporate governance.
AWS-Bassem/solaris
CosmiQ Works Geospatial Machine Learning Analysis Toolkit