cmardiros
Follow
Stars
An Automated AI-Powered Prompt Optimization Framework
Chat with any codebase in under two minutes | Fully local or via third-party APIs
Engineer your reusable, customizable, prompt library in Marimo reactive notebooks
Concatenate a directory full of files into a single prompt for use with LLMs
Access large language models from the command-line
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essen…
Roadmap to becoming a data engineer in 2021
A collection of various notebook extensions for Jupyter
Apply custom CSS styling to your jupyter notebooks
Automate execution of Jupyter Notebooks from another Notebook.
Generic automation framework for acceptance testing and RPA
Robot Framework keyword library wrapper for BrowserMob Proxy
MapReduce job for creating multitouch attribution models.
Python/numpy bootstrap confidence interval estimation.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Minimal examples of data structures and algorithms in Python
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
Wasabi A/B Testing service is an open source project that is no longer under active development or being supported
Simple, Pythonic remote execution and deployment.
Algorithm's team Jupyter Notebooks
Bayesian Optimization using xgboost and sklearn API
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Laroche…