Instructions to use NextGenC/MissionologyEvoNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use NextGenC/MissionologyEvoNet with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://NextGenC/MissionologyEvoNet") - Notebooks
- Google Colab
- Kaggle
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(EN) This project belongs to an
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(TR) Bu proje
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EvoNet: Neuroevolution for Sorting Task - Project Evolution / Sıralama Görevi için Neuroevolution - Proje Gelişimi
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(EN) This repository documents the evolution of EvoNet, a project exploring the use of neuroevolution to automatically design neural network architectures capable of sorting numerical sequences. It started as a learning exercise and evolved through different versions with increasing robustness and features.
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# (EN) This project belongs to an 18-year-old software developer.
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# (TR) Bu proje 18 yaşındaki yazılımcıya aittir.
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EvoNet: Neuroevolution for Sorting Task - Project Evolution / Sıralama Görevi için Neuroevolution - Proje Gelişimi
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(EN) This repository documents the evolution of EvoNet, a project exploring the use of neuroevolution to automatically design neural network architectures capable of sorting numerical sequences. It started as a learning exercise and evolved through different versions with increasing robustness and features.
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