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The library is a C++/Python implementation of the variational building block framework introduced in our papers. The framework allows easy learning of a wide variety of models using variational Bayesian learning

源码文件列表

📂 共 61 个源码文件 点击文件名可在线查看源代码

1 📄
generate_dependencies.sh
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2 📄
readme
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3 📄
configure
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4 🐍
fixnet.py
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5 🐍
tests.py
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6 🐍
plothelpers.py
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7 🐍
picklehelpers.py
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8 🐍
__init__.py
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9 🐍
bbvis.py
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10 🐍
browser.py
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11 🐍
decaycounters.py
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12 🐍
learner.py
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13 🐍
plot.py
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14 🐍
helpers.py
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15 🐍
main.py
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📂 查看完整源码列表 (共 61 个文件) →
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