#计算机科学#A Python implementation of LightFM, a hybrid recommendation algorithm.
翻译 - LightFM的Python实现,一种混合推荐算法。
An index of algorithms for learning causality with data
#计算机科学#Deep recommender models using PyTorch.
#计算机科学#Learning to Rank in TensorFlow
翻译 - 学习在TensorFlow中排名
#搜索#Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness
#计算机科学#allRank is a framework for training learning-to-rank neural models based on PyTorch.
#计算机科学#A machine learning tool that ranks strings based on their relevance for malware analysis.
翻译 - 一种机器学习工具,可根据字符串的相关性自动对字符串进行排名,以进行恶意软件分析。
ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
利用lightgbm做(learning to rank)排序学习,包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and pre...
#计算机科学#My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.
#搜索#The codebase for the book "AI-Powered Search" (Manning Publications, 2024)
Tensorflow implementations of various Learning to Rank (LTR) algorithms.
Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
翻译 - 基于LightGBM的WWW'19“无偏LambdaMART:无偏成对学习到排名算法”的代码
train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
#计算机科学#Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
The repository for 'Uncertainty-aware blind image quality assessment in the laboratory and wild' and 'Learning to blindly assess image quality in the laboratory and wild'
#计算机科学#A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.