YangLing0818

YangLing0818's Stars

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python8.4k362981k

• runwayml/stable-diffusion

  Latent Text-to-Image Diffusion

  Language:Jupyter Notebook3.8k6141453

• paperswithcode/galai

  Model API for GALACTICA

  Language:Jupyter Notebook2.7k4471276

• zjc062/mind-vis

  Code base for MinD-Vis

  Language:Python749222794

• dome272/Paella

  Official Implementation of Paella https://arxiv.org/abs/2211.07292v2

  Language:Jupyter Notebook741162554

• omriav/blended-latent-diffusion

  Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]

  Language:Jupyter Notebook569481634

• michiyasunaga/dragon

  [NeurIPS 2022] DRAGON 🐲: Deep Bidirectional Language-Knowledge Graph Pretraining

  Language:Python3149047

• WeilunWang/SinDiffusion

  Official Implementation of SinDiffusion: Learning a Diffusion Model from a Single Natural Image

  Language:Python28191524

• AI4HealthUOL/SSSD

  Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

  Language:Python27892752

• snap-stanford/GreaseLM

  [ICLR 2022 spotlight]GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

  Language:Python23371739

• AlexGraikos/diffusion_priors

  Using pre-trained Diffusion models as priors for inference tasks

  Language:Jupyter Notebook1943512

• FreyrS/dMaSIF

  Language:Jupyter Notebook19455045

• openvax/mhcflurry

  Peptide-MHC I binding affinity prediction

  Language:Python1931914458

• Fei-Long121/DeepBDC

  The Pytorch code of "Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification", CVPR 2022 (Oral).

  Language:Python17252925

• RUCAIBox/UniSRec

  [KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".

  Language:Python17142024

• yeliu918/KG-BART

  KG-BART: Knowledge Graph-Augmented BART for GenerativeCommonsense Reasoning

  Language:Python16131618

• microsoft/FS-Mol

  FS-Mol is A Few-Shot Learning Dataset of Molecules, containing molecular compounds with measurements of activity against a variety of protein targets. The dataset is presented with a model evaluation benchmark which aims to drive few-shot learning research in the domain of molecules and graph-structured data.

  Language:Python159121124

• AndyJZhao/GLEM

  Language:Python11711817

• guangyliu/LatentOps

  Source code of LatentOps

  Language:Python77489

• microsoft/KID

  Knowledge Infused Decoding

  Language:Python71648

• yuh-yang/MBHT-KDD22

  [KDD'22] Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation

  Language:Python6121514

• YangLing0818/SGDiff

  Official implementation for "Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training" https://arxiv.org/abs/2211.11138

  Language:Python6051510

• DeepGraphLearning/InductiveQE

  Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)

  Language:Python47407

• cjx96/C2DSR

  [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation

  Language:Python361104

• cjx96/DisenCDR

  [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation

  Language:Python33156

• rajarshd/CBR-SUBG

  Language:Python30456

• cjx96/CDRIB

  [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck

  Language:Python29127

• INK-USC/CALM

  Source code for ICLR 2021 paper : Pre-training Text-to-Text Transformers for Concept-Centric Common Sense

  Language:Python27521

• Meteor-han/ReLMole

  Language:Python9101

• biomed-AI/Meta-MO

  Language:Python7203