In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.

Explore vector similarity in Redis

Deploy and scale machine learning models with FastAPI, Redis and Docker

Kanji usage frequency data collected from various sources

The ELK stack powered by Docker and Compose.

a go daemon that syncs MongoDB to Elasticsearch in realtime

Learn OpenCV : C++ and Python Examples

A collection of exercises for practicing what is taught in Genki: An Integrated Course in Elementary Japanese.

reference implementation to backend REST API.

A draft project for lergo

collection of scripts to build lergo on top of codeship

system tests for lergo using protractor

A light tool to import data to ElasticSearch

🖥 Chrome automation made simple. Runs locally or headless on AWS Lambda.

Sample application for Codeship Pro using Express & Node.js