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

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

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

The Scott-Knott Effect Size Difference (ESD) test

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

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

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