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autoregressive-model

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GPT-style decoder-only Transformer built from scratch using TensorFlow with custom Multi-Head Attention, Positional Encoding, Hyperparameter Tuning, Text Generation, and Attention Visualization.

  • Updated Jun 15, 2026
  • Python

Generative modeling for JAX/Flax NNX: VAEs, GANs, DDPM/DDIM/score/DiT/latent diffusion, normalizing flows, energy-based, autoregressive and geometric (SE(3), protein, point cloud, mesh) models; image, text, audio, molecular, protein, tabular and time-series modalities; a shared Trainer with callbacks and extensions; evaluation through calibrax.

  • Updated Oct 31, 2026
  • Python

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