MI-Prometheus
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Notes

  • Installation
  • Updating the documentation
    • Guidelines & examples
    • Some quotes about Code Documentation
  • License

MI-Prometheus Primer

  • MI-Prometheus Explained
    • Core concepts
    • Architecture
    • Configuration Management
  • Problems Explained
  • Models Explained
  • Workers Explained
    • Trainers
    • Tester
    • Initialization
    • Iterations over the batches of samples
    • Terminal conditions
  • Grid Workers Explained
  • Helpers Explained

Reproducible Research

  • Reproducible Research Primer
  • Compositional generalization of the MAC and S-MAC models
    • Training MAC & S-MAC on CLEVR & CoGenT
      • Testing the trained models on CLEVR / CoGenT-A / CoGenT-B
    • Finetuning the CoGenT-A & CLEVR trained models on CoGenT-B
      • Testing the finetuned models on CoGenT-A / CoGenT-B
    • Finetuning the CLEVR-trained models on CoGenT-A
      • Testing the finetuned models on CoGenT-A / CoGenT-B
    • Collecting the results
  • Testing working memory using Cog dataset and model
    • On the Cog Dataset
    • Training the Cog model on the Cog dataset
    • Testing the trained models on the Cog test dataset
  • Training the Sequential MAC model on the Cog dataset
    • Testing the trained models on the Cog test dataset
    • Visualization
    • Training and testing the model on the Cog HARD test dataset

Tutorials

  • Basics: LeNet-5 on MNIST

Package Reference

  • miprometheus.utils
    • AppState
    • DataDict
    • ParamInterface
    • ParamRegistry
    • SamplerFactory
    • Split Indices
    • StatisticsCollector
    • StatisticsAggregator
    • TimePlot
    • Losses
      • Masked BCEWithLogitsLoss
      • Masked CrossEntropyLoss
    • Problems Utils
      • GenerateFeatureMaps
      • Language
  • miprometheus.problems
    • Problem
    • ProblemFactory
    • ImageTextToClass Problems
      • CLEVR
      • Sort-Of-CLEVR
      • ShapeColorQuery
      • VQAMED
    • ImageToClass Problems
      • CIFAR-10
      • MNIST
    • SequenceToSequence Problems
    • VideoTextToClass Problems
      • COG
    • Algorithmic SequenceToSequence Problems
      • Dual Comparison
        • SequenceComparisonCommandLines
        • SequenceEqualityCommandLines
        • SequenceSymmetryCommandLines
      • Dual Distraction
        • DistractionCarry
        • DistractionForget
        • DistractionIgnore
        • ReadingSpan
      • Dual Interruption
        • InterruptionNot
        • InterruptionReverseRecall
        • InterruptionSwapRecall
        • OperationSpan
      • Manipulation Spatial
        • ManipulationSpatialNot
        • ManipulationSpatialRotation
      • Manipulation Temporal
        • ManipulationTemporalRotation
        • RepeatReverseRecallCommandLines
        • ReverseRecallCommandLines
        • SkipRecallCommandLines
      • Recall
        • RepeatSerialRecallCommandLines
        • ScratchPadCommandLines
        • SerialRecallCommandLines
    • TextToText Problems
      • TranslationAnki
    • VideoToClass Problems
      • Permuted Sequential Row Mnist
      • Sequential Pixel MNIST
  • miprometheus.models
    • Model
    • SequentialModel
    • ModelFactory
    • Visual Question Answering baselines
      • CNN + LSTM
      • Stacked Attention Networks
      • MAC
      • Simplified MAC
      • Relational Networks
      • COG
    • Image Classification models
    • Controllers for MANNs models
    • Memory-Augmented Neural Network (MANN) models
      • DWM
      • DNC
      • NTM
      • Encoder-Solver models
      • Mental Model prototype
    • Others Models
      • LSTM
      • ThalNet
  • miprometheus.workers
    • Worker
    • Trainer
    • OfflineTrainer
    • OnlineTrainer
    • Tester
  • miprometheus.grid_workers
    • GridWorker
    • GridTrainerCPU
    • GridTrainerGPU
    • GridTesterCPU
    • GridTesterGPU
    • GridAnalyzer
  • miprometheus.helpers
    • IndexSplitter
    • ProblemInitializer
MI-Prometheus
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© Copyright 2018, Tomasz Kornuta, Vincent Marois, Ryan L. McAvoy, Younes Bouhadjar, Alexis Asseman, Vincent Albouy, Emre Sevgen, T.S. Jayram, Ahmet S. Ozcan Revision a8e8a5b3.

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