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A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search sc…
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …
An efficient and effective learning to rank algorithm by mining information across ranking candidates. This repository contains the tensorflow implementation of SERank model. The code is developed …
Context-sensitive ranking and choice in Python with PyTorch
Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.
Training & evaluation library for text-based neural re-ranking and dense retrieval models built with PyTorch
Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
Unbiased Learning To Rank Algorithms (ULTRA)
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Determinantal point processes for basket recommendations
A modified version of ProbFOIL, a probabilistic extension of FOIL.
A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)
👤 Multi-Armed Bandit Algorithms Library (MAB) 👮
Python code for the post "Adversarial Bandits and the Exp3 Algorithm"
Python toolbox for sampling Determinantal Point Processes
tensorflow实战练习，包括强化学习、推荐系统、nlp等
Bandit algorithms for online learning to rank