PiggerZZM

PiggerZZM's Stars

• rootlu/MetaHIN

  Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"

  Language:Jupyter Notebook12541

• birdx0810/timegan-pytorch

  This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.

  Language:Jupyter Notebook8036

• dglai/maxp_baseline_model

  Language:Jupyter Notebook6526

• jsyoon0823/TimeGAN

  Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

  Language:Jupyter Notebook892277

• olofmogren/c-rnn-gan

  Implementation of C-RNN-GAN.

  Language:Python451137

• SigCGANs/Conditional-Sig-Wasserstein-GANs

  Language:Python12857

• 3778/Ward2ICU

  Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward

  Language:Python3010

• ratschlab/RGAN

  Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

  Language:Python641181

• blindsubmission1/PEAGNN

  Official code for the paper "Leveraging the Metapath and Entity Aware Subgraphs for Recommendation"

  Language:Python4011

• Jhy1993/Awesome-GNN-Recommendation

  Graph Neural Network

  26647

• LYuhang/GNN_Review

  GNN综述阅读报告

  Language:Jupyter Notebook888214

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.7k3.7k

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.1k3k

• ShusenTang/Dive-into-DL-PyTorch

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

  Language:Jupyter Notebook18.5k5.4k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.6k4.1k

• 92xianshen/GolfRevisited

  Language:Python31

• ZiyaoGeng/RecLearn

  Recommender Learning with Tensorflow2.x

  Language:Python1.9k495

• hongleizhang/RSPapers

  RSTutorials: A Curated List of Must-read Papers on Recommender System.

  6.2k1.4k

• wzhe06/SparrowRecSys

  A Deep Learning Recommender System

  Language:Python2.5k844

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.5k3.1k

• microsoft/TUTA_table_understanding

  TUTA and ForTaP for Structure-Aware and Numerical-Reasoning-Aware Table Pre-Training

  Language:Python9921

• microsoft/TableSense

  303

• zhongqiangwu960812/AI-RecommenderSystem

  该仓库尝试整理推荐系统领域的一些经典算法模型

  Language:Jupyter Notebook1.8k391

• CyC2018/Markdown-Resume

  ⭐️ Markdown 简历模版

  Language:HTML3.1k1.5k

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.5k14.9k

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python60.6k25.5k

• pavlobu/deskreen

  Deskreen turns any device with a web browser into a secondary screen for your computer. ⭐️ Star to support our work!

  Language:TypeScript17.9k992

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++32.1k3.7k

• fengdu78/Data-Science-Notes

  数据科学的笔记以及资料搜集

  Language:Jupyter Notebook8.2k3.1k

• fengdu78/deeplearning_ai_books

  deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

  Language:HTML18.3k5.9k