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AFARI-Research / WA-JEPA

WA-JEPA: Rethinking the Video JEPA Paradigm for World-Action Modeling in Autonomous Driving

β–² ~7/7d β˜… 82 Python 1mo ago
ginwind / VLA-JEPA

[ECCV 2026] VLA-JEPA: Enhancing Vision-Language-Action Model with Latent World Model

β–² ~0/7d β˜… 615 Python 21d ago
jrz97619761 / test-model-thing

A small proof-of-concept language model (not an LLM) that aims to incorporate latent-space prediction, internal state using recurrent trace units, and byte-by-byte output, built with MLX.

β–² ~0/7d β˜… 326 Python 15d ago
zju3dv / INTACT-JEPA

INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models.

β–² ~0/7d β˜… 217 Python 11d ago
zhuxun132 / InJepa

InJepa: Intention First Latent State Planning with Coupled JEPAs for Visual Navigation. Code, Clean150 tasks and E12 checkpoint.

β–² ~0/7d β˜… 50 Python 1d ago
YilunKuang / lpworldmodel

Official Code for LpWM: A Case for Sparse Representations in World Models

β–² ~0/7d β˜… 33 Python 1mo ago
walkinglabs / hands-on-world-models

Build world models from scratch β€” from perception and latent dynamics to planning, JEPA, VLA, and 3D/4D intelligence.