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fishy-business 0.0.1 documentation
fishy-business 0.0.1 documentation

Getting Started

  • Installation
  • Docker Integration 🐳
  • REIMS Datasets
  • Interactive Wizard
  • Interactive Dashboard
  • Tutorials
    • 01: Datasets and Preprocessing
    • 02: Fish Species and Part Identification
    • 03: Oil and Cross-species Adulteration
    • 04: Contrastive Learning for Batch Detection

Results

  • Experimental Results Leaderboard

User Guide

  • Core Concepts
  • Dataset Configuration
  • XAI & Interpretability
  • Examples

API Reference

  • API Reference
    • fishy
      • fishy.analysis
        • fishy.analysis.benchmark
        • fishy.analysis.biomarker
        • fishy.analysis.statistical
        • fishy.analysis.xai
      • fishy.cli
        • fishy.cli.main
        • fishy.cli.wizard
      • fishy.data
        • fishy.data.assets
        • fishy.data.augmentation
        • fishy.data.datasets
        • fishy.data.module
      • fishy.engine
        • fishy.engine.losses
        • fishy.engine.muon
        • fishy.engine.trainer
      • fishy.experiments
        • fishy.experiments.classic_training
        • fishy.experiments.contrastive
        • fishy.experiments.deep_training
        • fishy.experiments.pre_training
        • fishy.experiments.transfer
        • fishy.experiments.unified_trainer
      • fishy.models
        • fishy.models.classic
          • fishy.models.classic.opls_da
        • fishy.models.contrastive
          • fishy.models.contrastive.barlow_twins
          • fishy.models.contrastive.byol
          • fishy.models.contrastive.moco
          • fishy.models.contrastive.simclr
          • fishy.models.contrastive.simsiam
        • fishy.models.deep
          • fishy.models.deep.augformer
          • fishy.models.deep.augformer_v2
          • fishy.models.deep.cnn
          • fishy.models.deep.dense
          • fishy.models.deep.ensemble
          • fishy.models.deep.gatedmlp
          • fishy.models.deep.gmoe
          • fishy.models.deep.hybrid
          • fishy.models.deep.kan
          • fishy.models.deep.lewm
          • fishy.models.deep.lstm
          • fishy.models.deep.mamba
          • fishy.models.deep.moe
          • fishy.models.deep.nextformer
          • fishy.models.deep.ode
          • fishy.models.deep.ordinal
          • fishy.models.deep.performer
          • fishy.models.deep.rcnn
          • fishy.models.deep.rwkv
          • fishy.models.deep.srmlp
          • fishy.models.deep.tcn
          • fishy.models.deep.transformer
          • fishy.models.deep.ttt_mixin
          • fishy.models.deep.vae
          • fishy.models.deep.wavenet
        • fishy.models.evolutionary
          • fishy.models.evolutionary.eda
          • fishy.models.evolutionary.es
          • fishy.models.evolutionary.ga
          • fishy.models.evolutionary.gp
          • fishy.models.evolutionary.pso
        • fishy.models.probabilistic
          • fishy.models.probabilistic.gp
          • fishy.models.probabilistic.laplace_logistic
          • fishy.models.probabilistic.probabilistic_svc
        • fishy.models.utils

Community

  • Contributing
  • Contact
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Tutorials¶

These interactive tutorials are designed to match the contribution chapters of the thesis and provide a complete machine learning pipeline for REIMS data.

  • 01: Datasets and Preprocessing
  • 02: Fish Species and Part Identification
  • 03: Oil and Cross-species Adulteration
  • 04: Contrastive Learning for Batch Detection
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01: Datasets and Preprocessing
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Interactive Dashboard
Copyright © 2022, Jesse Wood, Bing Xue, Mengjie Zhang, Bach Hoai Nguyen, Daniel Killeen
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