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README

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PyTorchZeroToAll

Quick 3~4 day lecture materials for HKUST students.

Video Lectures: (RNN TBA)

Slides

If you cannot access the GoogleDoc for somehow, please check out pdf files in slides. However, slides in GoogleDrive are always latest. We really appreciate your comments.

Previous Lectures

  • cf., http://bit.ly/TF_HKUST (3 day crash course using TensorFlow)

Core symbols most depended-on inside this repo

str2tensor
called by 14
seq2seq_models.py
init_hidden
called by 8
13_3_char_rnn.py
str2tensor
called by 6
13_3_char_rnn.py
cuda_variable
called by 6
seq2seq_models.py
loss
called by 5
01_basics.py
test
called by 5
13_2_rnn_classification.py
create_variable
called by 4
13_2_rnn_classification.py
forward
called by 3
03_auto_gradient.py

Shape

Method 57
Function 37
Class 21

Languages

Python100%

Modules by API surface

seq2seq_models.py15 symbols
13_2_rnn_classification.py12 symbols
13_3_char_rnn.py8 symbols
11_1_toy_inception_mnist.py8 symbols
name_dataset.py7 symbols
13_1_rnn_classification_basics.py7 symbols
08_2_dataset_loade_logistic.py7 symbols
10_1_cnn_mnist.py5 symbols
09_2_softmax_mnist.py5 symbols
text_loader.py4 symbols
12_2_hello_rnn.py4 symbols
08_1_dataset_loader.py4 symbols

Dependencies from manifests, versioned

Unidecode0.04.21 · 1×
httplib20.18.0 · 1×
matplotlib2.0.0 · 1×
numpy1.13.3 · 1×
torchvision0.1.9 · 1×

For agents

$ claude mcp add PyTorchZeroToAll \
  -- python -m otcore.mcp_server <graph>

⬇ download graph artifact