salad
0.2
  • Package Overview
    • 📊 Benchmarking Results
    • 💻 Installation
    • 📚 Using this library
      • Quick Start
      • Reasons for using solver abstractions
      • Quickstart: MNIST Experiment
    • 💡 Domain Adaptation Problems
      • 📷 Vision
      • 🎤 Audio
      • ፨ Neuroscience
    • 🔗 References
    • 👤 Contact
  • Whitepaper
  • Reading List
    • Awesome Transfer Learning
    • Table of Contents
    • Tutorials and Blogs
    • Papers
      • Surveys
      • Deep Transfer Learning
        • Fine-tuning approach
        • Feature extraction (embedding) approach
        • Multi-task learning
        • Policy transfer for RL
        • Few-shot transfer learning
        • Meta transfer learning
        • Applications
      • Unsupervised Domain Adaptation
        • Theory
        • Adversarial methods
        • Optimal Transport
        • Embedding methods
        • Kernel methods
        • Autoencoder approach
        • Subspace Learning
        • Self-Ensembling methods
        • Other
      • Semi-supervised Domain Adaptation
        • General methods
        • Subspace learning
        • Copulas methods
      • Few-shot Supervised Domain Adaptation
        • Adversarial methods
        • Embedding methods
      • Applied Domain Adaptation
        • Physics
        • Audio Processing
    • Datasets
      • Image-to-image
      • Text-to-text
    • Results
      • Digits transfer (unsupervised)
    • Challenges
    • Libraries
      • Awesome Transfer Learning
      • Table of Contents
      • Tutorials and Blogs
      • Papers
        • Surveys
        • Deep Transfer Learning
        • Unsupervised Domain Adaptation
        • Semi-supervised Domain Adaptation
        • Few-shot Supervised Domain Adaptation
        • Applied Domain Adaptation
      • Datasets
        • Image-to-image
        • Text-to-text
      • Results
        • Digits transfer (unsupervised)
      • Challenges
      • Libraries
  • Benchmarks
    • Digit Benchmarks
    • VisDA Benchmark and TASK-CV

Tutorials

  • Solvers (salad.solver)
  • Datasets (salad.datasets)
    • Introduction
    • Digits Datasets
    • Toy Datasets
  • Models (salad.models)
    • Introduction
  • Layers (salad.layers)
    • Introduction
  • Utilities (salad.utils)
    • Introduction

Scripts and Paper Implementations

  • Domain Adversarial Training
  • Cross Gradient Training
  • Adversarial Dropout Regularization
  • Virtual Adversarial Domain Adaptation
  • Self-Ensembling

API Reference

  • Solvers (salad.solver)
    • Submodules
    • salad.solver.base module
    • salad.solver.da.base module
    • salad.solver.da.advdrop module
    • salad.solver.da.association module
    • salad.solver.da.coral module
    • salad.solver.da.crossgrad module
    • salad.solver.da.dann module
    • salad.solver.da.dirtt module
    • salad.solver.da.dirtt_re module
    • salad.solver.da.djdot module
    • salad.solver.da.ensembling module
    • salad.solver.classification module
    • salad.solver.gan module
    • salad.solver.openset module
  • Datasets (salad.datasets)
    • Subpackages
      • salad.datasets.da package
        • Submodules
        • salad.datasets.da.base module
        • salad.datasets.da.digits module
        • salad.datasets.da.toy module
      • salad.datasets.digits package
        • Submodules
        • salad.datasets.digits.base module
        • salad.datasets.digits.mnist module
        • salad.datasets.digits.openset module
        • salad.datasets.digits.synth module
        • salad.datasets.digits.usps module
      • salad.datasets.transforms package
        • Submodules
        • salad.datasets.transforms.digits module
        • salad.datasets.transforms.ensembling module
        • salad.datasets.transforms.noise module
        • salad.datasets.transforms.noisy module
      • salad.datasets.visda package
        • Submodules
        • salad.datasets.visda.detection module
        • salad.datasets.visda.openset module
        • salad.datasets.visda.utils module
        • salad.datasets.visda.visda module
  • Models (salad.models)
    • Subpackages
      • salad.models.audio package
      • salad.models.digits package
        • Submodules
        • salad.models.digits.adv module
        • salad.models.digits.assoc module
        • salad.models.digits.corr module
        • salad.models.digits.dirtt module
        • salad.models.digits.ensemble module
        • salad.models.digits.fan module
      • salad.models.vision package
        • Submodules
        • salad.models.vision.unet module
    • Submodules
    • salad.models.base module
    • salad.models.gan module
    • salad.models.neural module
    • salad.models.resnet module
    • salad.models.sensorimotor module
    • salad.models.transfer module
    • salad.models.utils module
  • Layers (salad.layers)
    • Submodules
    • salad.layers.association module
    • salad.layers.base module
    • salad.layers.coral module
    • salad.layers.da module
    • salad.layers.funcs module
    • salad.layers.mat module
    • salad.layers.vat module
  • Utilities (salad.utils)
    • Submodules
    • salad.utils.augment module
    • salad.utils.base module
    • salad.utils.config module
    • salad.utils.evaluate module
    • salad.utils.finetune module
salad
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