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📖 Guides

  • 🚆 Training guides
    • Train MNIST
    • Train bidirectional-LSTM
    • Train PINN
    • Train fourier features network
    • Train Convolutional LSTM
    • Train UNet segmenter
    • Train transformer
  • đŸŽ¯ Core guides
    • ✅ Checkpointing
    • 🚄 Data and model parallelism
    • đŸŽšī¸ Mixed precision training
    • 🍰 Parameter subset training
    • ➕ Evaluation handling
  • đŸ—‚ī¸ Other guides
    • 🧮 Mini optimizer library
    • đŸ•šī¸ Hyperparameter tuning
    • đŸ”ī¸ Visualize Loss Landscape
    • 🌀 Augmentations composition
    • 🤔 Ensemble-based uncertainity qunatification
    • 🎛 Custom convolutions
  • đŸĢļ Interoperability
    • 🔄 Serket + Tensorflow
    • 🔄 Serket + Keras
  • đŸŗ Tree recipes
    • âœ‚ī¸ Surgery
    • đŸŸī¸ Fields
    • 🔧 Intermediates handling
    • đŸ—‚ī¸ Misc recipes
    • đŸĒĄ Sharing/Tie Weights
    • đŸ’Ģ Transformations

📃 API Documentation

  • 🔗 Common API
  • 🧠 Neural network API
    • Activations
    • Attention
    • Convolution
    • Dropout
    • Linear
    • Normalization
    • Pooling
    • Recurrent
    • Reshaping
  • đŸ–ŧī¸ Image API
    • Geometric API
    • Filter API
  • 🌲 Tree API
    • 📍 Module API
    • đŸĨŊ Masking API
    • 🌲 Tree API
    • đŸ—ī¸ Constructor API
    • 🎨 Pretty printing API
  • .rst

đŸ—‚ī¸ Other guides

đŸ—‚ī¸ Other guides#

other guides

  • 🧮 Mini optimizer library
  • đŸ•šī¸ Hyperparameter tuning
  • đŸ”ī¸ Visualize Loss Landscape
  • 🌀 Augmentations composition
  • 🤔 Ensemble-based uncertainity qunatification
  • 🎛 Custom convolutions

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➕ Evaluation handling

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🧮 Mini optimizer library

By Mahmoud Asem

Š Copyright 2023, Mahmoud Asem.