Nick Hagar's starred repositories
recommenders
Best Practices on Recommendation Systems
LLocalSearch
LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed.
Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
anthropic-cookbook
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
superduperdb
🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
openapi-devtools
Browser extension that generates API specs for any app or website
carefree-creator
AI magics meet Infinite draw board.
uiautomator
Python wrapper of Android uiautomator test tool.
DataDreamer
DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models. 🤖💤
generative-recommenders
Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
cassiopeia
An all-inclusive Python framework for the Riot Games League of Legends API. Cass focuses on making the data easy and fun to work with, while providing all the tools necessary to create a website or do data analysis.
crosswalker
A general purpose tool for text-based crosswalking
dachshund
Dachshund is a graph mining library written in Rust. It provides high performance data structures for multiple kinds of graphs, from simple undirected graphs to typed hypergraphs. Dachshund also provides algorithms for common tasks for graph mining and analysis, ranging from shortest paths to graph spectral analysis.