A tiny, efficient fuzzy search that doesn't suck

LibAUC: A Deep Learning Library for X-Risk Optimization

Critical difference diagram with Wilcoxon-Holm post-hoc analysis.

Tensorflow implementations of various Learning to Rank (LTR) algorithms.

A reference implementation of a list ordering system like JIRA's Lexorank algorithm

rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

深度学习与推荐系统学习，理论结合代码更香。

Code and Data for the paper: "Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information"

Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.

Document Search Engine Tool

siamese dssm sentence_similarity sentece_similarity_rank tensorflow

Calculates SpringRank from directed networks or pairwise comparisons

Vector Arithmetic and Weighted, Variably Randomized Cosine Similarity Search in Postgres

Rank images using TrueSkill by comparing them against each other in the browser. 🖼📊

The Scott-Knott Effect Size Difference (ESD) test

TensorFlow implementation of "Learning to Rank Question-Answer Pairs using Hierarchical Recurrent Encoder with Latent Topic Clustering," NAACL-18

A package for interleaving / multileaving ranking generation in go

Creates a ranked list of email addresses from local email files, which can be used for address completion for example in aerc.

A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm