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Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Run your dbt Core projects as Apache Airflow DAGs and Task Groups with a few lines of code
A follow-along demonstration of ProTI on the Random Word Webpage (RWW)
An extremely fast Python linter and code formatter, written in Rust.
Scrapy, a fast high-level web crawling & scraping framework for Python.
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Construct Apache Airflow DAGs Declaratively via YAML configuration files
This project includes dwh development and ml pipeline to predict heart diseases.
Machine Learning pipeline MVP on Docker and Apache Airflow
Learn Apache Spark in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker. ⚡
The goal of this project is to analyze temperature data.
This project is the final project of the the Data Pipeline - Udacity module.
This project refers to an example of populating a star schema on AWS - Redshift ingesting data from AWS - S3.
This is an overview of a MLOps architecture that includes both Airflow and MLflow running on separate Docker containers.
CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)