https://github.com/novelcore/synthetic_data_evaluation_framework
공식 코드An evaluation framework for synthetic data generation models
Papers with Code 아카이브
Synthetic Data Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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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/nv-tlabs/cosmos-drive-dreams
공식 코드Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models
https://github.com/nvidia/nemo-aligner
공식 코드https://github.com/nvlabs/craftrtl
공식 코드https://github.com/open-sciencelab/graphgen
공식 코드GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation
https://github.com/owkin/hte
공식 코드Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials
https://github.com/owl-project/NVISII
공식 코드NViSII: A Scriptable Tool for Photorealistic Image Generation
https://github.com/parinzee/seed-free-synthetic-instruct
공식 코드Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in Thai
https://github.com/pinkex/tmgbench
공식 코드TMGBench: A Systematic Game Benchmark for Evaluating Strategic Reasoning Abilities of LLMs
https://github.com/pixelite1201/BEDLAM
공식 코드BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion
https://github.com/pixwse/tiny2
공식 코드Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
https://github.com/pkasela/SY_SE-PQA
공식 코드Synthetic Data Generation with Large Language Models for Personalized Community Question Answering
https://github.com/popcornell/ASRLightningFT
공식 코드Generating Data with Text-to-Speech and Large-Language Models for Conversational Speech Recognition
https://github.com/prabaey/synsum
공식 코드SynSUM -- Synthetic Benchmark with Structured and Unstructured Medical Records
https://github.com/princeton-vl/ocmesher
공식 코드View-Dependent Octree-based Mesh Extraction in Unbounded Scenes for Procedural Synthetic Data
https://github.com/pujacomputes/datapropsgraphssl
공식 코드Analyzing Data-Centric Properties for Graph Contrastive Learning
https://github.com/ql909/mathematical_definitions
공식 코드https://github.com/quinten-health-os/synth-data-gen-from-text
공식 코드A text-to-tabular approach to generate synthetic patient data using LLMs
https://github.com/qwenlm/qwen2.5-coder
공식 코드https://github.com/radu1999/walkandtext
공식 코드Aligning Actions and Walking to LLM-Generated Textual Descriptions
https://github.com/rawalkhirodkar/car_pose
공식 코드Domain Randomization for Scene-Specific Car Detection and Pose Estimation
https://github.com/retailmarketingai/retailsynth
공식 코드RetailSynth: Synthetic Data Generation for Retail AI Systems Evaluation
https://github.com/richardmarcus/synth-it-like-kitti
공식 코드Synth It Like KITTI: Synthetic Data Generation for Object Detection in Driving Scenarios
https://github.com/ringowrw/uavd4l
공식 코드https://github.com/rizwanqureshi123/brain-tumor-synthetic-data
공식 코드Brain Tumor Synthetic Data Generation with Adaptive StyleGANs
https://github.com/rsidd120/madrasmixturemodel
공식 코드MMM and MMMSynth: Clustering of heterogeneous tabular data, and synthetic data generation
https://github.com/ruxueshi/Awesome-Comprehensive-Survey-of-Synthetic-Tabular-Data-Generation
공식 코드https://github.com/ryanwangzf/pytrial
공식 코드PyTrial: Machine Learning Software and Benchmark for Clinical Trial Applications
https://github.com/sakib570/synthetic-data-utility
공식 코드https://github.com/sanoscience/simuscope
공식 코드https://github.com/sassoftware/dpmm
공식 코드dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation
https://github.com/sattarov/FinDiff
공식 코드FinDiff: Diffusion Models for Financial Tabular Data Generation
https://github.com/seharanul17/synthetic-tabular-LLM
공식 코드https://github.com/sfu-mial/skin-lesion-segmentation-survey
공식 코드https://github.com/shadowtwin41/brats_2023_2024_solutions
공식 코드Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation
https://github.com/shaharzuler/cardio_volume_skewer
공식 코드Synthetic Data Generation for 3D Myocardium Deformation Analysis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.