Coding an LLM and its building blocks from scratch.

A collective list of free APIs

Formulate trained predictors in Gurobi models

Accepted as reproducibility paper at RecSys 2023.

Artificial Intelligence project designed by UC Berkeley. Designed game agents for the game Pacman using basic, adversarial and stochastic search algorithms, and reinforcement learning concepts

🦉 A grounder and solver for logic programs.

Google Research

Repository for our NeurIPS 2022 paper "Concept Embedding Models", our NeurIPS 2023 paper "Learning to Receive Help", and our ICML 2025 paper "Avoiding Leakage Poisoning"

Source Code for 'Applied Recommender Systems with Python' by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, and V Adithya Krishnan

The Not So Short Introduction to LaTeX

Extremely fast Query Engine for DataFrames, written in Rust

A React-based UI toolkit for the web

RAI is a python library that is written to help AI developers in various aspects of responsible AI development.

Recommender System Papers

Code and other documentation for apps in the Shiny Gallery ✨

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

Create data science and AI web apps in R

Simulate different kinds of colorblindness on images in your browser.

A collection of simple graphics made with D3.js

SASRec: Self-Attentive Sequential Recommendation

Examples and guides for using the OpenAI API

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

R Markdown Résumés and CVs

A unified, comprehensive and efficient recommendation library

📈 A small, fast chart for time series, lines, areas, ohlc & bars

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

The PyTorch implementation of LightGCN