9afe763979e2c985c216048ebf9b065a *DESCRIPTION
b268896f28aa2b39f2e6d70fa037de8b *INDEX
7f2c7ffe34d57ce8e05de689c665d646 *LICENSE
404da5f528904f972e16c141c31793e1 *Meta/Rd.rds
104d433669a37420724bd986c19a450b *Meta/features.rds
75663f7b7da0e8b42a98c93ccec6b6d6 *Meta/hsearch.rds
61abdeabd5248b2fa31711ed28dec015 *Meta/links.rds
fe376f896ec6c64a26ec6685908db38b *Meta/nsInfo.rds
fb3f792f5362cc4f469a69285a1e742c *Meta/package.rds
91bce796cac19695f951cc0e84c00730 *Meta/vignette.rds
40ebc5ae96861236ca8f113495cb7fd9 *NAMESPACE
557ecda30212994a566a2e9f01fab3d9 *NEWS.md
d6c68f1fe41ced6e98a766a3757313da *R/rTorch
471c56443c84967527b28252a9c839e8 *R/rTorch.rdb
aca8bcadc8c6355fd588f9c4616370fb *R/rTorch.rdx
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3c9e2d06e8560272e30c98b0c827478b *doc/installation.R
d3f6001e480ad5d131cf432fc3ce0574 *doc/installation.Rmd
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f2df23fc1e16dc9ea6257dd33cead50e *examples/hello.R
0e3e5d574323acf0ce6ab3434eeb3deb *help/AnIndex
beb65fa4d793790e567cb346d1164220 *help/aliases.rds
e8027d310ba6821e6cd6e2f5dd6e6cc6 *help/paths.rds
1d4c846b99a56e855c325224fd10b554 *help/rTorch.rdb
cb709462fc85a0b326b4cc0799ea6639 *help/rTorch.rdx
cd448c68a4d26f704bbc14441e0a485f *html/00Index.html
b6763e6916890c631fdc3f2643803b1a *html/R.css
73cbf59556f783e2403249b1f1ad955c *not-used/reticulate.R
9d85ceb81eeb8553d96898e07b675d23 *old_R/extraction.R
acd563ef29835d784484bd9e42e089f4 *old_tests/test_torch.R
92f84e69a8c7f1eb639cf1ef202e03ca *old_tests/test_torchsize.R
39268494c1e5ed3077078dbf867af45b *old_vignettes/ReLU_modular.Rmd
39f6ebf85d66a07fc4d784471da5b257 *old_vignettes/basic_operations.Rmd
1b1006c2d2cae9b4e1057b99a25f860b *old_vignettes/linear_regression_modular-XY.Rmd
3dc1777bf1329d5b77b30d104f7490e5 *old_vignettes/linear_regression_modular.Rmd
5bd15414e9de9e909c777aac74f9181d *old_vignettes/logistic_regression_modular.Rmd
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2c0d89613fa5507f8a906719788790b0 *old_vignettes/vignettes/idx_images_mnist_digits.Rmd
afa1355dcada2248558842af9bed8ba3 *old_vignettes/vignettes/linear_regression_rainfall.Rmd
cdfcc2cd8f1f089005e64794649781b4 *old_vignettes/vignettes/linear_regression_rainfall_builtins.Rmd
f5108f1607fcee5b7b0ba5afd362b317 *old_vignettes/vignettes/logistic_regression_mnist_digits_idx.Rmd
fe35b811b2f8dd6e099c7f36147416d3 *old_vignettes/vignettes/mnist_fashion_inference.Rmd
a9b4447291f21af2ba460fb9fe4a62ff *old_vignettes/vignettes/png_images_mnist_digits.Rmd
dae481bcba949e0e2ab315a3e159a78d *old_vignettes/vignettes/simple_linear_regression.Rmd
19ebb9a22d3eeb532ac17dd4acaf51f6 *old_vignettes/vignettes/two_layer_neural_network.Rmd
d41d8cd98f00b204e9800998ecf8427e *python/torchtools/__init__.py
03504d8a1e34721a81c08472e4315800 *python/torchtools/classes.py
7238acca416685b6b599f749f17e24f2 *python/torchtools/data_util.py
c985b90c8d3f14d139fbedca0662cc34 *rhub-tests.R
1ad82757a8579177468d5e86d1dcc054 *test_mnist_digits_png_full.R
