microsoft/table-transformer
table-transformer
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.
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Microsoft
microsoft • big-tech
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Created
May 17, 2021
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README Summary
A deep learning model based on object detection for extracting tables from PDFs and images.
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Computer VisionDataset CurationDeep Learning Model TrainingDocument UnderstandingEvaluation Metrics DesignObject DetectionTable Structure RecognitionTransformer Architecture
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Computer VisionDataset CurationDeep Learning Model TrainingDocument UnderstandingEvaluation Metrics DesignObject DetectionTable Structure RecognitionTransformer ArchitectureBenchmarkingCLI ToolCurated ListDeep LearningDocument ProcessingEvalsForkedGPU / CUDAHuggingFaceOpen SourcePythonPyTorchResearch / PapersTransformers
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Updated 1 years ago
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- high
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Learning ResourcesPrimaryRAG & RetrievalEvals & BenchmarkingInference & ServingDev Tools & AutomationFoundation ModelsModel TrainingComputer VisionSearch & KnowledgeOther AI / ML
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Data & EvaluationDeveloper PlatformProduct Discovery
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Python100.0%
Timeline
- Project created
- May 17, 2021
- Forked
- Mar 23, 2026
- Your last push
- 1 years ago
- Upstream last push
- 1 years ago
- Tracked since
- Jun 24, 2024
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