Repo

x-jepa

Implements JEPA-oriented latent prediction building blocks in PyTorch for exploring joint-embedding world-model training ideas.

GitHub ↗Jul 9, 2026Paper ↗

  • multimodal
  • jepa
  • world-models
  • pytorch
Autonomous machine intelligence architecture diagram showing world model, actor, perception components
Autonomous machine intelligence architecture diagram showing world model, actor, perception components

What it is

PyTorch playground for building and testing JEPA-style world-model components inspired by LeCun's autonomous intelligence agenda. Prototype JEPA-style latent prediction models in PyTorch for experiments with joint-embedding world-model ideas and next-latent prediction setups.

Key results

  • Packaged as x-jepa 0.0.10 with Torch >=2.4 and Python >=3.10
  • Includes automated tests via tests/test_x_jepa.py
  • Targets JEPA and world-model exploration, citing LeWorldModel and next-latent work

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