Name		Name	Last commit message	Last commit date
Latest commit History 358 Commits
fig		fig
test		test
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
contextualreps.ipynb		contextualreps.ipynb
evaluation_methods.ipynb		evaluation_methods.ipynb
evaluation_metrics.ipynb		evaluation_metrics.ipynb
hw_rel_ext.ipynb		hw_rel_ext.ipynb
hw_sst.ipynb		hw_sst.ipynb
hw_wordentail.ipynb		hw_wordentail.ipynb
hw_wordsim.ipynb		hw_wordsim.ipynb
nli.py		nli.py
nli_01_task_and_data.ipynb		nli_01_task_and_data.ipynb
nli_02_models.ipynb		nli_02_models.ipynb
np_autoencoder.py		np_autoencoder.py
np_model_base.py		np_model_base.py
np_rnn_classifier.py		np_rnn_classifier.py
np_sgd_classifier.py		np_sgd_classifier.py
np_shallow_neural_classifier.py		np_shallow_neural_classifier.py
np_tree_nn.py		np_tree_nn.py
projects.md		projects.md
rel_ext.py		rel_ext.py
rel_ext_01_task.ipynb		rel_ext_01_task.ipynb
rel_ext_02_experiments.ipynb		rel_ext_02_experiments.ipynb
requirements.txt		requirements.txt
retrofitting.py		retrofitting.py
setup.ipynb		setup.ipynb
sst.py		sst.py
sst_01_overview.ipynb		sst_01_overview.ipynb
sst_02_hand_built_features.ipynb		sst_02_hand_built_features.ipynb
sst_03_neural_networks.ipynb		sst_03_neural_networks.ipynb
torch_autoencoder.py		torch_autoencoder.py
torch_model_base.py		torch_model_base.py
torch_rnn_classifier.py		torch_rnn_classifier.py
torch_shallow_neural_classifier.py		torch_shallow_neural_classifier.py
torch_tree_nn.py		torch_tree_nn.py
tutorial_jupyter_notebooks.ipynb		tutorial_jupyter_notebooks.ipynb
tutorial_numpy.ipynb		tutorial_numpy.ipynb
tutorial_pytorch.ipynb		tutorial_pytorch.ipynb
utils.py		utils.py
vsm.py		vsm.py
vsm_01_distributional.ipynb		vsm_01_distributional.ipynb
vsm_02_dimreduce.ipynb		vsm_02_dimreduce.ipynb
vsm_03_retrofitting.ipynb		vsm_03_retrofitting.ipynb

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CS224u: Natural Language Understanding

Code for the Stanford course. The code is written to run under Python 3.7; setup.ipynb provides additional details.

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