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Project: autograd
(GitHub Link)
autograd-master
license.txt
examples
generative_adversarial_net.py
data.py
negative_binomial_maxlike.py
neural_net_regression.py
natural_gradient_black_box_svi.py
variational_autoencoder.py
rosenbrock.py
gplvm.py
gaussian_process.py
tanh.py
fluidsim
fluidsim.py
wing.py
neural_net.py
convnet.py
define_gradient.py
bayesian_neural_net.py
print_trace.py
rkhs.py
lstm.py
bayesian_optimization.py
dot_graph.py
gmm.py
black_box_svi.py
__init__.py
data_mnist.py
hmm_em.py
ode_net.py
fixed_points.py
rnn.py
mixture_variational_inference.py
ica.py
sinusoid.py
deep_gaussian_process.py
logistic_regression.py
autograd
differential_operators.py
util.py
scipy
signal.py
misc.py
linalg.py
special.py
integrate.py
__init__.py
stats
t.py
beta.py
poisson.py
multivariate_normal.py
dirichlet.py
norm.py
chi2.py
__init__.py
gamma.py
misc
tracers.py
flatten.py
optimizers.py
__init__.py
fixed_points.py
test_util.py
tracer.py
numpy
numpy_wrapper.py
numpy_vspaces.py
fft.py
random.py
numpy_boxes.py
linalg.py
__init__.py
numpy_jvps.py
numpy_vjps.py
__init__.py
wrap_util.py
core.py
builtins.py
extend.py
conda_recipe
conda.yaml
setup.py
benchmarks
asv.conf.json.sample
bench_rnn.py
bench_core.py
__init__.py
bench_util.py
bench_numpy_vjps.py
bench_mem.py
setup.cfg
.travis.yml
README.md
tests
test_systematic.py
test_misc.py
test_graphs.py
test_truediv.py
_test_complexity.py
test_linalg.py
test_tests.py
test_performance.py
numpy_utils.py
test_dict.py
test_wrappers.py
test_jacobian.py
check_examples_run.sh
test_tuple.py
test_logic.py
test_direct.py
test_numpy.py
test_list.py
test_vspaces.py
test_builtins.py
test_fft.py
test_scalar_ops.py
test_binary_ops.py
test_complex.py
test_scipy.py
test_core.py
profiling.py
.gitignore
docs
tutorial.md
updateguide.md
MANIFEST.in
Please go to the root directory to view the license.