JayoungKim408

JayoungKim408's Stars

• sheoyon-jhin/PatchTST

  An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

  6

• sheoyon-jhin/EXIT

  EXIT : Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting

  Language:Python131

• sheoyon-jhin/ACE-NODE

  Attentive Co-Evolving Neural Ordinary Differential Equations

  Language:Python282

• sheoyon-jhin/ANCDE

  Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting

  Language:Python397

• Newbeeer/pfgmpp

  Code for ICML 2023 paper, "PFGM++: Unlocking the Potential of Physics-Inspired Generative Models"

  Language:Python35735

• moskomule/ewc.pytorch

  An implementation of EWC with PyTorch

  Language:Jupyter Notebook23346

• Newbeeer/Poisson_flow

  Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)

  Language:Python84858

• google-research/met

  Language:Python235

• LevinRoman/tabular-transfer-learning

  A repo for transfer learning with deep tabular models

  Language:Python10122

• sunlab-osu/TURL

  Code and data for "TURL: Table Understanding through Representation Learning"

  Language:Jupyter Notebook11627

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16k1.6k

• kathrinse/be_great

  A novel approach for synthesizing tabular data using pretrained large language models

  Language:Python27546

• bigdyl-kaist/OCTGAN

  PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)

  Language:Python141

• mahmoodm2/tableGAN

  tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Adversarial Network architecture (DCGAN).

  Language:Python13162

• ChaejeongLee/CoDi

  Official code for "CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis", ICML 2023

  Language:Python285

• yang-song/score_sde_pytorch

  PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

  Language:Jupyter Notebook1.7k309

• Genentech/branched-diffusion

  Language:Jupyter Notebook83

• SAP-archive/security-research-membership-inference-against-generative-networks

  SAP Security Research sample code to reproduce the research done in our paper "Monte Carlo and Reconstruction Membership Inference Attacks against Generative Models" at PoPETS 2019.

  Language:Jupyter Notebook71

• JayoungKim408/SOS

  Language:Python103

• jhayes14/gen_mem_inf

  Membership Inference of Generative Models

  Language:Python133

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.1k866

• yuanqidu/awesome-graph-generation

  27417

• JayoungKim408/STaSy

  Official code for "STaSy: Score-based Tabular data Synthesis", ICLR 2023

  Language:Python246

• cooper-org/cooper

  A general-purpose, deep learning-first library for constrained optimization in PyTorch

  Language:Jupyter Notebook10711

• traindb-project/traindb

  ML model-based approximate query processing engine

  Language:Java642

• traindb-project/traindb-model

  ML model library for TrainDB

  Language:Jupyter Notebook403

• Huxpro/huxpro.github.io

  My Blog / Jekyll Themes / PWA

  Language:HTML7.1k5.4k

• chq1155/A-Survey-on-Generative-Diffusion-Model

  89959

• ermongroup/ddim

  Denoising Diffusion Implicit Models

  Language:Python1.4k202

• arpitbansal297/Cold-Diffusion-Models

  Official implementation of Cold-Diffusion for different transformations in pytorch.

  Language:Python1k79