Hugging Face's logo
Omar Espejel's picture
1 38

Omar Espejel

espejelomar
Ruqiya's profile picture sebasgaviria79's profile picture kurhula's profile picture
·
https://espejel.cc/

AI & ML interests

None yet

Recent Activity

reacted to theirpost with ❤️ 8 days ago
Sharing WorldForge with @abdelstark It's an open-source Python project for evaluating and replaying robotics and world-model workflows. The useful part is not only calling a model. WorldForge records the run, validates action shapes, translates outputs into actions, and keeps replay artifacts you can inspect later. The current demo uses LeRobot + LeWorldModel on PushT through the official loader: `stable_worldmodel.policy.AutoCostModel("pusht/lewm")` The harness also has replay-only paths for Cosmos-Policy and GR00T-style outputs, so you can inspect the provider contract from saved artifacts without keeping a GPU server online. Try it: `pip install worldforge-ai` `uv run --extra harness worldforge-harness --flow robotics-compare` Repo: https://github.com/AbdelStark/worldforge Docs: https://abdelstark.github.io/worldforge/ Pre-1.0, MIT, and actively looking for contributors. Good areas: - robotics provider adapters - replay artifacts - eval flows - docs & first-run demos Good first issues: https://github.com/AbdelStark/worldforge/contribute If you're building robot policy evals or model adapters, would love a PR — or an issue describing what's missing.
posted an update 8 days ago
Sharing WorldForge with @abdelstark It's an open-source Python project for evaluating and replaying robotics and world-model workflows. The useful part is not only calling a model. WorldForge records the run, validates action shapes, translates outputs into actions, and keeps replay artifacts you can inspect later. The current demo uses LeRobot + LeWorldModel on PushT through the official loader: `stable_worldmodel.policy.AutoCostModel("pusht/lewm")` The harness also has replay-only paths for Cosmos-Policy and GR00T-style outputs, so you can inspect the provider contract from saved artifacts without keeping a GPU server online. Try it: `pip install worldforge-ai` `uv run --extra harness worldforge-harness --flow robotics-compare` Repo: https://github.com/AbdelStark/worldforge Docs: https://abdelstark.github.io/worldforge/ Pre-1.0, MIT, and actively looking for contributors. Good areas: - robotics provider adapters - replay artifacts - eval flows - docs & first-run demos Good first issues: https://github.com/AbdelStark/worldforge/contribute If you're building robot policy evals or model adapters, would love a PR — or an issue describing what's missing.
updated a dataset about 1 year ago
espejelomar/cairo_code_instructions_9k
View all activity

Organizations

BigScience Workshop's profile picture Flax-sentence-embeddings's profile picture NLP en ES's profile picture I Hackathon Somos NLP: PLN en Español's profile picture Laboratorio de Tecnologías del Lenguaje (INAOE)'s profile picture fast.ai community's profile picture Biomedical TeMU's profile picture Escuela Latinoamericana de IA's profile picture Universidad Panamericana (UP)'s profile picture Tecnologico de Monterrey's profile picture Centro de Investigación en Computación (IPN)'s profile picture Universidad Tecnológica's profile picture Hellenic Artificial Intelligence Society's profile picture SomosNLP's profile picture ONNXConfig for all's profile picture Universidade NOVA de Lisboa's profile picture Webis Hugging Face Workshop's profile picture Data's profile picture fastai X Hugging Face Group 2022's profile picture fasthug group 2022's profile picture Embedding Training Data's profile picture Platzi Community's profile picture Starknet Foundation's profile picture