https://github.com/persiyanov/skip-thought-tf

An implementation of skip-thought vectors in Tensorflow
https://github.com/persiyanov/skip-thought-tf

deep-learning deeplearning embeddings nlp skip-thought-vectors tensorflow text-summarization

Last synced: 11 months ago
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An implementation of skip-thought vectors in Tensorflow

• Host: GitHub
• URL: https://github.com/persiyanov/skip-thought-tf
• Owner: persiyanov
• License: mit
• Created: 2016-09-28T10:59:45.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2023-03-24T21:54:36.000Z (over 3 years ago)
• Last Synced: 2025-04-23T20:42:45.394Z (about 1 year ago)
• Topics: deep-learning, deeplearning, embeddings, nlp, skip-thought-vectors, tensorflow, text-summarization
• Language: Python
• Homepage:
• Size: 130 KB
• Stars: 74
• Watchers: 1
• Forks: 31
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# skip-thought-tf

An implementation of skip-thought vectors in Tensorflow

# Usage

```python

from skipthought import SkipthoughtModel

from skipthought.data_utils import TextData

from skipthought.utils import seq2seq_triples_data_iterator

model = SkipthoughtModel(...)

td = TextData("path/to/data")

lines = td.dataset

prev, curr, next = td.make_triples(lines)

it = td.triples_data_iterator(prev, curr, next, td.max_len, batch_size)

with tf.Session() as sess:

    init = tf.initialize_all_variables()

    sess.run(init)

    

    for enc_inp, prev_inp, prev_targ, next_inp, next_targ in it:

        ....

    

```