Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
ple 开源项目推荐(18 个)
ple 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 18
GitHub 共 18 个仓库,已全部展示Recommendation Algorithm 大规模推荐算法库,包含推荐系统经典及最新算法 LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM、DSIN、SIGN、IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM、MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM、TiSAS、AutoFIS 等,包含经典推荐系统数据集 criteo、movielens 等
A PyTorch Library for Multi-Task Learning
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
练习下用pytorch来复现下经典的推荐系统模型,如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等
DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.
主流推荐系统Rank算法的实现
学习并复现经典的推荐系统多目标任务,如:SharedBottom、ESMM、MMoE、PLE
curriculum (laravel)
PreTab is a modular, scikit-learn-compatible representation and preprocessing library for tabular data. Its focus is feature representation and expansion: splines, neural basis maps, piecewise-linear encoding, kernel approximations, and language embeddings, each shipped as a standalone transformer that speaks the standard fit / transform.
Target-side reader adaptation: frozen n-gram PLE transfer (35B Modal + 0.8B, 2B and 4B Kaggle tracks)
Our contribution to Systems and Software Product Line Conference (SPLC) 2022 in Graz, Austria
Keras implementation of a DQN agent for solving OpenAI's Flappy Bird environment
A workaround for supporting UTF-8 in MultiCharts's PLE
A sequential recommendation system that predicts what users will watch next and how they'll rate it using SASRec and multi-task learning.
该项目在 GitHub 上没有填写描述
Multimodal multi-task short-video recommendation with PLE, MMoE, uncertainty weighting, PCGrad, gate analysis, and modality ablation.
Reinforcement Learning project where Q-Learning and Neural Network agents learn to play Flappy Bird using PLE. Developed for Aprendizaje Automático II at UNR.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 18 个项目;原始页面见 https://github.com/topics/ple。
- 该话题在 GitHub 上共有 18 个仓库, 本站收录的是其中最热门的 18 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 18 个项目累计 1.7 万 Star,覆盖 5 种主要语言,数据更新于 2026-11-08。
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