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xiangyu918's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

arope icon arope

This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).

autossl icon autossl

[ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"

csdi icon csdi

Codes for "CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation"

embedx icon embedx

embedx 是基于 c++ 开发的、完全自研的分布式 embedding 训练和推理框架。它目前支持 图模型、深度排序、召回模型和图与排序、图与召回的联合训练模型等

graphmae icon graphmae

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

grarep icon grarep

A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).

hope icon hope

This is a sample implementation of "Asymmetric Transitivity Preserving Graph Embedding"(KDD 2016).

imgagn icon imgagn

Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks

lemane icon lemane

Learning Based Proximity Matrix Factorization for Node Embedding

mtt-distillation icon mtt-distillation

Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

nrp-code icon nrp-code

Code for Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank

openne icon openne

An Open-Source Package for Network Embedding (NE)

paretognn icon paretognn

Official repository for ICLR'23 paper: Multi-task Self-supervised Graph Neural Network Enable Stronger Task Generalization

pytorch-ts icon pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

same icon same

Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings"

source-code-notebook icon source-code-notebook


tinywebserver icon tinywebserver

:fire: Linux下C++轻量级Web服务器学习

transgan icon transgan

[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

transgan-1 icon transgan-1

This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (CVPR 2021) in PyTorch.

transganformer icon transganformer

Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

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