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.

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) 👮

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

Document Search Engine Tool

siamese dssm sentence_similarity sentece_similarity_rank tensorflow

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

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

A personified chatbot responding to a query based on the answering pattern of Dr. APJ Abdul Kalam using Information Retrieval, Natural Language Processing, and Deep Learning techniques.

Potential energy ranking for domain generalization (DG)

Sklearn-ranking is ranking algorithm used for recommendation system algorithm. RANKSVM, RANKBOOST, RANKNET is included in this package

Neural Response Ranker for Alana, Heriot-Watt University's Alexa Prize Socialbot

Building and evaluating a ranking model using the MSLR-WEB10K dataset

A bridge finder for the card 'Small World' in the card game 'Yu-Gi-Oh!'.

A Python 3.12 implementation of the Schulze method for ranking candidates.

Extractive summarizationof medical transcriptions

Tiny Ranking Engine, that do searching in unlimited number of files in directory called data and calculate Terms weighting.