Ronald Luitwieler's repositories
cdk_delta_glue
Run Delta Lake in AWS Glue
amazon-kendra-langchain-extensions
Samples to build Generative AI applications with LangChain and Amazon Kendra
amazon-sagemaker-codeserver
Hosting code-server on Amazon SageMaker
applied-ml
đź“š Curated papers, articles & videos on data science & machine learning applied in production, with results.
aws-genai-llm-chatbot
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, AI21, Cohere) using AWS CDK on AWS
docker-hadoop
Apache Hadoop docker image
ecr-cleanup-lambda
A script to discover stale ECR images and take action on them with Lambda to help reduce costs.
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Made-With-ML
Learn how to responsibly develop, deploy and maintain production machine learning applications.
manim
Animation engine for explanatory math videos
mlflow-workshop-part-1
Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.
mlflow-workshop-part-2
Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.
mlflow-workshop-part-3
Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.
mlflow-workshop-project-expamle-1
This example demonstrates how you can use GitHub projects in MLflow and share it with others to reproduce runs
orangewise
orangewise profile
sagemaker-ssh-helper
A helper library to connect into Amazon SageMaker with AWS Systems Manager and SSH (Secure Shell)
serverless
This is intended to be a repo containing all of the official AWS Serverless architecture patterns built with CDK for developers to use. All patterns come in Typescript and Python with the exported CloudFormation also included.
smart_open
Utils for streaming large files (S3, HDFS, gzip, bz2...)
TikTok-Api
The Unofficial TikTok API Wrapper In Python
traceback_with_variables
Adds variables to python traceback. Simple, lightweight, controllable. Debug reasons of exceptions by logging or pretty printing colorful variable contexts for each frame in a stacktrace, showing every value. Dump locals environments after errors to console, files, and loggers. Works in Jupyter and IPython. Install with pip or conda.