├── .gitignore ├── README.md ├── datasets ├── brown.lsi-index.npy ├── brown.word-by-word.normalized.npy ├── brown_pos_dataset.hdf5 ├── brown_pos_dataset.indices └── brown_w2v_vectors.npy ├── dl4mt └── __init__.py ├── notebooks ├── data_preparation │ ├── prep_pos_corpus.ipynb │ ├── prep_text_classification_corpus.ipynb │ └── word_window_vectors.ipynb ├── day0 │ ├── Day 0 - Warming up to Python.ipynb │ └── test.txt ├── day1 │ ├── datasets │ │ ├── brown.word-by-word.normalized.npy │ │ ├── brown_pos_dataset.hdf5 │ │ ├── brown_pos_dataset.indices │ │ ├── brown_w2v_model │ │ ├── mnist2500_X.txt │ │ └── mnist2500_labels.txt │ ├── mlp.ipynb │ ├── stacked_autoencoder.ipynb │ ├── theano_autoencoder.ipynb │ ├── theano_logistic_regression.ipynb │ └── tsne_visulization.ipynb └── day2 │ ├── accumulating_rnn.ipynb │ ├── create_brown_w2v_index.ipynb │ └── recurrent_transition_with_lookup.ipynb └── trained_models └── logistic_regression_model.pkl /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/.gitignore -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/README.md -------------------------------------------------------------------------------- /datasets/brown.lsi-index.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/datasets/brown.lsi-index.npy -------------------------------------------------------------------------------- /datasets/brown.word-by-word.normalized.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/datasets/brown.word-by-word.normalized.npy -------------------------------------------------------------------------------- /datasets/brown_pos_dataset.hdf5: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/datasets/brown_pos_dataset.hdf5 -------------------------------------------------------------------------------- /datasets/brown_pos_dataset.indices: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/datasets/brown_pos_dataset.indices -------------------------------------------------------------------------------- /datasets/brown_w2v_vectors.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/datasets/brown_w2v_vectors.npy -------------------------------------------------------------------------------- /dl4mt/__init__.py: -------------------------------------------------------------------------------- 1 | -------------------------------------------------------------------------------- /notebooks/data_preparation/prep_pos_corpus.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/data_preparation/prep_pos_corpus.ipynb -------------------------------------------------------------------------------- /notebooks/data_preparation/prep_text_classification_corpus.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/data_preparation/prep_text_classification_corpus.ipynb -------------------------------------------------------------------------------- /notebooks/data_preparation/word_window_vectors.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/data_preparation/word_window_vectors.ipynb -------------------------------------------------------------------------------- /notebooks/day0/Day 0 - Warming up to Python.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/day0/Day 0 - Warming up to Python.ipynb -------------------------------------------------------------------------------- /notebooks/day0/test.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/day0/test.txt -------------------------------------------------------------------------------- /notebooks/day1/datasets/brown.word-by-word.normalized.npy: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/day1/datasets/brown.word-by-word.normalized.npy -------------------------------------------------------------------------------- /notebooks/day1/datasets/brown_pos_dataset.hdf5: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/day1/datasets/brown_pos_dataset.hdf5 -------------------------------------------------------------------------------- /notebooks/day1/datasets/brown_pos_dataset.indices: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/day1/datasets/brown_pos_dataset.indices -------------------------------------------------------------------------------- /notebooks/day1/datasets/brown_w2v_model: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/day1/datasets/brown_w2v_model -------------------------------------------------------------------------------- /notebooks/day1/datasets/mnist2500_X.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/day1/datasets/mnist2500_X.txt -------------------------------------------------------------------------------- /notebooks/day1/datasets/mnist2500_labels.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/day1/datasets/mnist2500_labels.txt -------------------------------------------------------------------------------- /notebooks/day1/mlp.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/day1/mlp.ipynb -------------------------------------------------------------------------------- /notebooks/day1/stacked_autoencoder.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/day1/stacked_autoencoder.ipynb -------------------------------------------------------------------------------- /notebooks/day1/theano_autoencoder.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/day1/theano_autoencoder.ipynb -------------------------------------------------------------------------------- /notebooks/day1/theano_logistic_regression.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/day1/theano_logistic_regression.ipynb -------------------------------------------------------------------------------- /notebooks/day1/tsne_visulization.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/day1/tsne_visulization.ipynb -------------------------------------------------------------------------------- /notebooks/day2/accumulating_rnn.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/day2/accumulating_rnn.ipynb -------------------------------------------------------------------------------- /notebooks/day2/create_brown_w2v_index.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/day2/create_brown_w2v_index.ipynb -------------------------------------------------------------------------------- /notebooks/day2/recurrent_transition_with_lookup.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/notebooks/day2/recurrent_transition_with_lookup.ipynb -------------------------------------------------------------------------------- /trained_models/logistic_regression_model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/chrishokamp/dl4mt_exercises/HEAD/trained_models/logistic_regression_model.pkl --------------------------------------------------------------------------------