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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/astorfi/cor-gan

공식 코드

CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records

https://github.com/astorfi/differentially-private-cgan

공식 코드

Differentially Private Synthetic Medical Data Generation using Convolutional GANs

https://github.com/asusanyamshah/MetaBoost

공식 코드

Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals

https://github.com/avsolatorio/realtabformer

공식 코드

REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers

https://github.com/ayaanzhaque/EC-GAN

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EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs

https://github.com/azizanlab/dp-relational

공식 코드

Differentially Private Synthetic Data Generation for Relational Databases

https://github.com/berkeley-speech-group/llm-dys

공식 코드

Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency Detection

https://github.com/bflashcp3f/synthetic-clinical-qa

공식 코드

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA

https://github.com/bips-hb/XAI_syn_data_detection

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What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative Models

https://github.com/bips-hb/arf_paper

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Adversarial random forests for density estimation and generative modeling

https://github.com/bjarnepfitzner/generative_fl_tff

공식 코드

DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder

https://github.com/blender-nlp/entityconditionedqgen

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Entity-Conditioned Question Generation for Robust Attention Distribution in Neural Information Retrieval

https://github.com/cancaries/SceneCrafter

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Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving

https://github.com/chaithra-u/dependency_preservation

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Preserving logical and functional dependencies in synthetic tabular data

https://github.com/chaoyitud/PnP-Watermark-Forgery

공식 코드

Optimization-Free Universal Watermark Forgery with Regenerative Diffusion Models

https://github.com/chengenw/transportation

공식 코드

A Systematic Evaluation of Generative Models on Tabular Transportation Data

https://github.com/chtmp223/clipper

공식 코드

CLIPPER: Compression enables long-context synthetic data generation

https://github.com/cifkao/ismir2019-music-style-translation

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Supervised Symbolic Music Style Translation Using Synthetic Data

https://github.com/clementchadebec/benchmark_VAE

공식 코드

Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use Case

https://github.com/clugen/CluGen.jl

공식 코드

Generating Multidimensional Clusters With Support Lines

https://github.com/clugen/MOCluGen

공식 코드

Generating Multidimensional Clusters With Support Lines

https://github.com/clugen/clugenr

공식 코드

Generating Multidimensional Clusters With Support Lines

https://github.com/clugen/pyclugen

공식 코드

Generating Multidimensional Clusters With Support Lines

https://github.com/comanchegenerate/comanchesynthetic

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Advancing Uto-Aztecan Language Technologies: A Case Study on the Endangered Comanche Language

https://github.com/computationalprivacy/ml-correlation-inference

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Correlation inference attacks against machine learning models

https://github.com/dariopi/synthetic_data_generation

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Synthetic data generation for system identification: leveraging knowledge transfer from similar systems

https://github.com/dasec/hda-synchildfaces-agetransformation

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Child Face Recognition at Scale: Synthetic Data Generation and Performance Benchmark

https://github.com/datadreamer-dev/datadreamer

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DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

https://github.com/datarubrics/datarubrics

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Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability

https://github.com/davidlee1102/surtimesurvival

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SurvTimeSurvival: Survival Analysis On The Patient With Multiple Visits/Records

https://github.com/dcnieho/byrneetal_leyes

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LEyes: A Lightweight Framework for Deep Learning-Based Eye Tracking using Synthetic Eye Images

https://github.com/derenlei/factcg

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FactCG: Enhancing Fact Checkers with Graph-Based Multi-Hop Data

https://github.com/devjake/eeg-diffusion-pytorch

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EEG Synthetic Data Generation Using Probabilistic Diffusion Models

https://github.com/dhananjayashok/littlehumandata

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A Little Human Data Goes A Long Way

https://github.com/dkifer/residualplanner

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An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions

https://github.com/dmey/synthia

공식 코드

Copula-based synthetic data augmentation for machine-learning emulators

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