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GitHub / jansam123 / JIDENN
Transformer architecture for quark/gluon identification of a jet.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jansam123%2FJIDENN
Stars: 1
Forks: 0
Open Issues: 0
License: mit
Language: Python
Repo Size: 31.2 MB
Dependencies:
30
Created: almost 2 years ago
Updated: 8 months ago
Last pushed: 5 months ago
Last synced: 5 months ago
Topics: deep-learning, deep-neural-networks, high-energy-physics, machine-learning, particle-physics, quark-gluon-tagging, transformer
Files
Dependencies
- Jinja2 ==3.1.2
- awkward ==2.1.3
- hydra-core ==1.3.2
- matplotlib ==3.7.1
- pandas ==2.0.1
- pdoc3 ==0.10.0
- scikit-learn ==1.2.2
- seaborn ==0.12.2
- tensorboard-plugin-profile ==2.11.2
- tensorflow ==2.11.0
- tensorflow-addons ==0.20.0
- tensorflow-datasets ==4.9.0
- tensorflow_decision_forests ==1.2.0
- typed-argument-parser ==1.8.0
- uproot ==5.0.7
- vector ==1.0.0
- awkward ==1.8.0
- hydra-core ==1.2.0
- matplotlib ==3.5.3
- pandas ==1.4.3
- scikit_learn ==1.1.2
- seaborn ==0.11.2
- tensorboard_plugin_profile ==2.8.0
- tensorflow ==2.9.3
- tensorflow-addons ==0.17.1
- tensorflow_datasets ==4.7.0
- tensorflow_decision_forests ==0.2.7
- typed-argument-parser ==1.7.2
- uproot ==4.3.3
- vector ==0.10.0