{"schema_version":"onlylabs.public_signal.v1","title":"Google (DeepMind / Gemini) Repo: google-deepmind/jeo","description":"Google (DeepMind / Gemini) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/0009ad1d-827c-40d5-8026-ab307adddca3","json_url":"https://onlylabs.fyi/signals/0009ad1d-827c-40d5-8026-ab307adddca3/signal.json","generated_at":"2026-06-11T03:56:50.544233+00:00","org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/google-deepmind","dossier_json_url":"https://onlylabs.fyi/labs/google-deepmind/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/0009ad1d-827c-40d5-8026-ab307adddca3","signal_json":"https://onlylabs.fyi/signals/0009ad1d-827c-40d5-8026-ab307adddca3/signal.json","source":"https://github.com/google-deepmind/jeo","lab_dossier":"https://onlylabs.fyi/labs/google-deepmind","lab_dossier_json":"https://onlylabs.fyi/labs/google-deepmind/dossier.json","analysis":"https://onlylabs.fyi/analysis/google-deepmind","analysis_json":"https://onlylabs.fyi/analysis/google-deepmind/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/google-deepmind/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":{"radar":"https://onlylabs.fyi/data-radar","radar_json":"https://onlylabs.fyi/data-radar.json","opportunities":"https://onlylabs.fyi/opportunities","opportunities_json":"https://onlylabs.fyi/opportunities.json","lanes":[{"key":"infrastructure","label":"Infrastructure","url":"https://onlylabs.fyi/data-radar/infrastructure","json_url":"https://onlylabs.fyi/data-radar/infrastructure/signals.json"}]}},"answer_pack":{"answer":"Google (DeepMind / Gemini) published google-deepmind/jeo (Python). 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implications."},"semantic_triples":[{"subject":"Google (DeepMind / Gemini)","predicate":"published repo","object":"google-deepmind/jeo","text":"Google (DeepMind / Gemini) published repo google-deepmind/jeo."},{"subject":"google-deepmind/jeo","predicate":"is classified as","object":"repo signal","text":"google-deepmind/jeo is classified as repo signal."},{"subject":"google-deepmind/jeo","predicate":"belongs to","object":"repos desk","text":"google-deepmind/jeo belongs to repos desk."},{"subject":"google-deepmind/jeo","predicate":"has context","object":"Python","text":"google-deepmind/jeo has context Python."},{"subject":"google-deepmind/jeo","predicate":"has evidence coverage","object":"1 captured evidence page","text":"google-deepmind/jeo has evidence coverage 1 captured evidence page."},{"subject":"google-deepmind/jeo","predicate":"matches data-business lanes","object":"Infrastructure","text":"google-deepmind/jeo matches data-business lanes 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This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo google-deepmind/jeo · language Python · New repo by DeepMind, modest stars.. onlylabs links this event to 1 captured evidence page and 6 related repo signals. 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It leverages [tf.data](https://www.tensorflow.org/guide/data) for efficient data pipelines, with a focus on [TensorFlow Datasets](https://www.tensorflow.org/datasets) for scalable and reproducible input. While TensorFlow Datasets are preferred, other dataset loaders are also supported. The codebase is designed to run seamlessly on CPUs, GPUs, or [Google Cloud TPU..."},"evidence_pages":[{"url":"https://github.com/google-deepmind/jeo","final_url":"https://github.com/google-deepmind/jeo","title":"google-deepmind/jeo repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:56:50.544233+00:00","bytes":14498,"raw_path":"ff47abd54cd718d00b2767c8ea164c26ed9ecbafe04f22f49eccfd2336619b18.json","content_hash":"5a141d217c61c2292a2014370ee2bd8868c5a8a05e32223f52104645ce72a68a","excerpt_chars":1200,"truncated":true,"excerpt":"google-deepmind/jeo Description: Jeo: Jax model training lib for Earth Observation Language: Python License: Apache-2.0 Stars: 163 Forks: 20 Open issues: 1 Created: 2024-10-26T07:52:24Z Pushed: 2026-05-22T14:53:04Z Default branch: main Fork: no Archived: no README: Jeo - Jax Geo lib <div style=\"text-align: left\"> <img align=\"right\" src=\"https://raw.githubusercontent.com/google-deepmind/jeo/main/docs/images/jeo_logo_blue.png\" width=\"100\" alt=\"jeo logo\"> </div> *Model training and inference for geospatial remote sensing and Earth Observation in JAX.* Jeo provides a framework for training machine learning models for geospatial remote sensing and Earth Observation using [JAX](https://github.com/google/jax) and [Flax](https://github.com/google/flax). 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