[ bookworm ]
[ sid ]
[ Источник: debian-pan ]
Пакет: pan-machine-learning (0.4)
Ссылки для pan-machine-learning
Ресурсы Debian:
Исходный код debian-pan:
Сопровождающие:
Внешние ресурсы:
- Сайт [wiki.debian.org]
Подобные пакеты:
machine learning software
This metapackage will install all the machine learning software for photons-and-neutrons PAN
Другие пакеты, относящиеся к pan-machine-learning
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- dep: pan-config (= 0.4)
- PAN Blend config package
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- dep: pan-tasks (= 0.4)
- PAN Blends tasks for tasksel
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- rec: libopencv-dnn-dev
- development files for libopencv-dnn406t64
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- rec: libtorch-test
- Tensors and Dynamic neural networks in Python (Test Binaries)
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- rec: python3-brian
- simulator for spiking neural networks
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- rec: python3-eagerpy
- Wrapper around various Python multidimensional array types
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- rec: python3-keras-applications
- popular models and pre-trained weights for the Keras deep learning framework
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- rec: python3-keras-preprocessing
- data preprocessing module for the Keras deep learning framework
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- rec: python3-mdp
- Modular toolkit for Data Processing
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- rec: python3-onnx
- Open Neural Network Exchange (ONNX) (Python)
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- rec: python3-pyclustering
- Data mining algorithms (Python 3)
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- rec: python3-skorch
- scikit-learn compatible neural network library that wraps PyTorch
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- rec: python3-torch
- Tensors and Dynamic neural networks in Python (Python Interface)
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- sug: keras-doc
- Пакет недоступен
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- sug: libopencv-dnn4.5
- Пакет недоступен
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- sug: libtorch-thnn
- Пакет недоступен
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- sug: python-tpot-doc
- documentation and examples for TPOT
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- sug: python3-keras
- deep learning framework running on Theano or TensorFlow
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- sug: python3-lasagne
- Пакет недоступен
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- sug: python3-onnxlibxnnpack-dev
- Пакет недоступен
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- sug: python3-torch-ignite
- High-level library to help with training and evaluating in PyTorch
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- sug: python3-tpot
- Automated Machine Learning tool built on top of scikit-learn
Загрузка pan-machine-learning
Архитектура | Размер пакета | В установленном виде | Файлы |
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all | 5,4 Кб | 25,0 Кб | [список файлов] |