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..
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fluidsim
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__init__.py
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bayesian_neural_net.png
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bayesian_neural_net.py
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bayesian_optimization.py
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black_box_svi.py
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convnet.py
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data.py
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data_mnist.py
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deep_gaussian_process.py
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define_gradient.py
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dot_graph.py
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fixed_points.py
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gaussian_process.png
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gaussian_process.py
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generative_adversarial_net.py
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gmm.png
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gmm.py
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gplvm.png
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gplvm.py
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graph.pdf
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hmm_em.py
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ica.py
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logistic_regression.py
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lstm.py
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mixture_variational_inference.py
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natural_gradient_black_box_svi.py
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negative_binomial_maxlike.py
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neural_net.py
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neural_net_regression.py
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ode_net.py
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ode_net_demo.png
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print_trace.py
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rkhs.py
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rnn.py
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rosenbrock.py
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sinusoid.png
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sinusoid.py
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sinusoid_taylor.png
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tanh.png
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tanh.py
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vae_samples.png
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variational_autoencoder.py
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