hustzhzhu

hustzhzhu's Stars

• TengShi-RUC/UniSAR

  The implementation of UniSAR

  Language:Python13

• ceo21ckim/Awesome-Recsys

  This Repository includes recent papers (RecSys, SIGIR, WWW, etc.) related to the Recommender Systems

  17115

• Ethan00Si/Instrumental-variables-for-recommendation

  The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"

  Language:Python263

• lvze92/DMR

  Deep Match to Rank Model for Personalized Click-Through Rate Prediction

  Language:Python23258

• radi-cho/GatedTabTransformer

  A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.

  Language:Jupyter Notebook935

• LayneH/GreenMIM

  [NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.

  Language:Python1656

• ZhichenZhao/pytorch-mmoe

  Language:Python213

• scalaboy/MutiTaskLearning

  Language:Python81

• hxyue/hub-recsys

  A python library contain classic algorithms and deep models on recommender system

  Language:Python4325

• xidongbo/AITM

  TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising. [https://arxiv.org/abs/2105.08489]

  Language:Python10430

• xiaobocser/AFT

  AFT model tf code

  Language:Python193

• easezyc/MetaHeac

  This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

  Language:Python509

• xxlllq/system_architect

  :100:2024年系统架构设计师（软考高级）备考资料。

  Language:HTML6k1.7k

• lucidrains/tab-transformer-pytorch

  Implementation of TabTransformer, attention network for tabular data, in Pytorch

  Language:Python73091

• jrzaurin/pytorch-widedeep

  A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

  Language:Python1.3k187

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.2k3k

• nd7141/bgnn

  Language:Python16732

• shenweichen/DeepCTR-Torch

  【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

  Language:Python2.9k675

• DataCanvasIO/DeepTables

  DeepTables: Deep-learning Toolkit for Tabular data

  Language:Python648117

• sbadirli/GrowNet

  Language:Python18742

• yandex-research/rtdl

  Research on Tabular Deep Learning: Papers & Packages

  Language:Python83096

• wOOL/DNDT

  Deep Neural Decision Trees

  Language:Jupyter Notebook15457

• Qwicen/node

  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

  Language:Jupyter Notebook47162

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.3k7.8k

• ptuls/tabnet-modified

  Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"

  Language:Python5912

• dreamquark-ai/tabnet

  PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

  Language:Python2.5k469

• BIGBALLON/distribuuuu

  The pure and clear PyTorch Distributed Training Framework.

  Language:Python27457

• tianzhi0549/FCOS

  FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

  Language:Python3.3k630

• JDAI-CV/FaceX-Zoo

  A PyTorch Toolbox for Face Recognition

  Language:Python1.8k432

• rougier/numpy-100

  100 numpy exercises (with solutions)

  Language:Python11.8k5.6k