jepctl: Putting Joint-Embedding Predictive Architectures in Practitioners' Hands

jepctl is a single-binary local runtime written in Rust with no Python dependency that loads published JEPA-style checkpoints (I-JEPA, V-JEPA 2, DINOv2, AudioMAE), strictly validates weight coverage, and serves embeddings over REST, SSE, and CLI. This engineering report documents the systems architecture, runtime constraints, and single-machine performance profiles measured on an Apple Silicon (M5 Pro) testbench. It packages four worked integrations: few-shot inspection and recognition, an online latent world model predicting camera dynamics, an end-to-end robot arm controller driven by latent distance minimisation, and a multimodal audio-visual companion. Source code and models are open source (Apache-2.0): https://github.com/younss/jepctl

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-22
DOI
https://doi.org/10.5281/zenodo.22883994
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
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jepctl: Putting Joint-Embedding Predictive Architectures in Practitioners' Hands

Younss Azzayani
Zenodo (CERN European Organization for Nuclear Research)
Adversarial Robustness in Machine Learning
article

jepctl: Putting Joint-Embedding Predictive Architectures in Practitioners' Hands

Younss Azzayani
article en

Abstract

jepctl is a single-binary local runtime written in Rust with no Python dependency that loads published JEPA-style checkpoints (I-JEPA, V-JEPA 2, DINOv2, AudioMAE), strictly validates weight coverage, and serves embeddings over REST, SSE, and CLI. This engineering report documents the systems architecture, runtime constraints, and single-machine performance profiles measured on an Apple Silicon (M5 Pro) testbench. It packages four worked integrations: few-shot inspection and recognition, an online latent world model predicting camera dynamics, an end-to-end robot arm controller driven by latent distance minimisation, and a multimodal audio-visual companion. Source code and models are open source (Apache-2.0): https://github.com/younss/jepctl

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Adversarial Robustness in Machine Learning
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