Fedora 40 for x86_64 : / usr /share /doc /python-autograd-doc /examples

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

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Fabrice Bellet, Tue Jul 9 23:23:40 2024