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Fast and Flexible Neural Click Models in JAX
Flax is a neural network library for JAX that is designed for flexibility.
ICTIR 2025 - Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank
An implementation of a deep learning recommendation model (DLRM)
An extremely fast Python package and project manager, written in Rust.
Simulating online bandits for ranking under position bias
A large-scale information-rich web dataset, featuring millions of real clicked query-document labels
SIGIR 2024 - Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset
Library for reading and processing ML training data.
A fast, simple and lightweight Bloom filter library for Python, implemented in Rust.
SIGIR 2024 - Train flax-based MonoBERT rankers on Baidu-ULTR
Personal toolkit for bias estimation unbiased learning to rank
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Simple, safe way to store and distribute tensors
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
Fish-like autosuggestions for zsh
A game theoretic approach to explain the output of any machine learning model.
Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
Course notes for CS228: Probabilistic Graphical Models.
Acceptance rates for the major AI conferences
RecSys 2023 - Collaborative filtering algorithms are prone to mainstream-taste bias
The simplest, fastest repository for training/finetuning medium-sized GPTs.