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Taktiny
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Getting Started

  • Installation
  • Quickstart

Maybe Useful

  • Saving and loading models
  • Parameter-Efficient Fine-Tuning (PEFT)
  • Data Loading & Transforms
  • Trainer & Callbacks
  • SPMD & Distributed Sharding

Tutorials

  • Linear Regression
  • Image Classification
  • Generative Adversarial Networks (GAN)

API Reference

  • taktiny.nn
    • Base Classes
    • Linear Layers
    • Activation Functions
    • Convolution & Pooling
    • Embedding
    • Normalization
    • Recurrent Layers
    • Transformer
    • Containers
    • Flatten & Unflatten
    • Regularization
    • Resampling
  • taktiny.takt
    • Takt API
    • PEFT Adapters
  • taktiny.data
    • Data Loading
    • Transforms & Packing
  • taktiny.trainer
    • Trainer
    • Configuration
    • Callbacks
  • taktiny.utils
    • SPMD Sharding
    • Quantization
    • Functional Transforms
    • Formatting
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taktiny.nnΒΆ

The taktiny.nn module provides base classes, layers, containers, and building blocks for deep neural networks in JAX.

  • Base Classes
  • Linear Layers
  • Activation Functions
  • Convolution & Pooling
  • Embedding
  • Normalization
  • Recurrent Layers
  • Transformer
  • Containers
  • Flatten & Unflatten
  • Regularization
  • Resampling
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Base Classes
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Generative Adversarial Networks (GAN)
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