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Synthetic Data Generation

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하위 태스크: 2
평가표: 2
보존된 평가 기록: 4

The generation of tabular data by any means possible.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/idiap/abroad-re

공식 코드

Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approach

https://github.com/idiap/gme-sampler

공식 코드

Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approach

https://github.com/idiap/sdialog

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SDialog: A Python Toolkit for Synthetic Dialogue Generation and Analysis

https://github.com/igul222/improved_wgan_training

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Improved Training of Wasserstein GANs

https://github.com/ikeyang/ditu-net

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Generative Wind Power Curve Modeling Via Machine Vision: A Self-learning Deep Convolutional Network Based Method

https://github.com/ikeyang/stu-net

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Generative Wind Power Curve Modeling Via Machine Vision: A Self-learning Deep Convolutional Network Based Method

https://github.com/info-regularization/information-regularization

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IR2: Information Regularization for Information Retrieval

https://github.com/internlm/condor

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Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement

https://github.com/irmlma/mobility-simulation-cdpm

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Synthetic location trajectory generation using categorical diffusion models

https://github.com/ivano-donadi/sdpr

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Improving Generalization of Synthetically Trained Sonar Image Descriptors for Underwater Place Recognition

https://github.com/jacobyuan7/rlip

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RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection

https://github.com/jiaosiyi/dfimat

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DFIMat: Decoupled Flexible Interactive Matting in Multi-Person Scenarios

https://github.com/jimmyxu123/select

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SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification

https://github.com/jmoo2880/MPSTime.jl

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Using matrix-product states for time-series machine learning

https://github.com/jpdefrutos/ddmr

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Learning deep abdominal CT registration through adaptive loss weighting and synthetic data generation

https://github.com/juangamella/gnies

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Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions

https://github.com/juangamella/gnies-paper

공식 코드

Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions

https://github.com/juangamella/sempler

공식 코드

Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions

https://github.com/kabolat/behavio-temporal-vae

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GUIDE-VAE: Advancing Data Generation with User Information and Pattern Dictionaries

https://github.com/kabolat/leave-one-out_maximum-log-likelihood

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Stable Training of Probabilistic Models Using the Leave-One-Out Maximum Log-Likelihood Objective

https://github.com/kennyvoo/face-occlusion-generation

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Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets

https://github.com/kennyvoo/face_occlusion_generation

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Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets

https://github.com/kevinsrr/repal

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Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction

https://github.com/kianaf/latentsubgroups

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Combining propensity score methods with variational autoencoders for generating synthetic data in presence of latent sub-groups

https://github.com/kidist-amde/Balanced-Face-Dataset

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Balanced Face Dataset: Guiding StyleGAN to Generate Labeled Synthetic Face Image Dataset for Underrepresented Group

https://github.com/konstantinklemmer/geopointgan

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GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy

https://github.com/koudounasalkis/AI4Voice

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Voice Disorder Analysis: a Transformer-based Approach

https://github.com/krish-parikh/synthetic-data-generation

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Driving Privacy Forward: Mitigating Information Leakage within Smart Vehicles through Synthetic Data Generation

https://github.com/kristian10007/convgen

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ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets

https://github.com/kupynorest/head_detector

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VGGHeads: 3D Multi Head Alignment with a Large-Scale Synthetic Dataset

https://github.com/kwang927/information-regularization

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IR2: Information Regularization for Information Retrieval

https://github.com/liamchalcroft/qsynth

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Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data

https://github.com/lilakk/bleuberi

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BLEUBERI: BLEU is a surprisingly effective reward for instruction following

https://github.com/lkpengcs/syntumoranalyzer

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Optimizing Synthetic Data for Enhanced Pancreatic Tumor Segmentation

https://github.com/lnairgt/feature-aligned-diffusion

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Improved Generation of Synthetic Imaging Data Using Feature-Aligned Diffusion

https://github.com/ltronchin/gan-ensembles

공식 코드

Beyond a Single Mode: GAN Ensembles for Diverse Medical Data Generation

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