Justin's repositories
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
aws-data-wrangler
Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
boto3
AWS SDK for Python
c-extension
Messing around with c extensions
databricks-cli
(Legacy) Command Line Interface for Databricks
docker-py
A Python library for the Docker Engine API
jupytemplate
Templates for jupyter notebooks
learning-go
Random go shenanigans
react-virtualized
React components for efficiently rendering large lists and tabular data
renovate
Universal dependency update tool that fits into your workflows.
sagemaker-experiments
Experiment tracking and metric logging for Amazon SageMaker notebooks and model training.
sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
sagemaker-spark-container
The SageMaker Spark Container is a Docker image used to run data processing workloads with the Spark framework on Amazon SageMaker.
statsmodels
Statsmodels: statistical modeling and econometrics in Python
tox
Command line driven CI frontend and development task automation tool.