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GitHub / sonlamho / Char2Vec
Training from scratch a character embedding following Word2Vec, using tensorflow.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sonlamho%2FChar2Vec
Stars: 10
Forks: 4
Open Issues: 10
License: mit
Language: Python
Repo Size: 274 KB
Dependencies:
86
Created: almost 5 years ago
Updated: over 1 year ago
Last pushed: about 1 year ago
Last synced: about 1 year ago
Topics: char2vec, machine-learning, nlp, representation-learning, word2vec
Files
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Readme
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Dependencies
nb_requirements.txt
pypi
- Jinja2 ==2.11.3
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.0
- Markdown ==3.1.1
- MarkupSafe ==1.1.1
- Pygments ==2.7.4
- Send2Trash ==1.5.0
- Werkzeug ==0.15.5
- absl-py ==0.7.1
- adjustText ==0.7.3
- astor ==0.8.0
- attrs ==19.1.0
- backcall ==0.1.0
- bleach ==3.3.0
- cycler ==0.10.0
- decorator ==4.4.0
- defusedxml ==0.6.0
- entrypoints ==0.3
- gast ==0.2.2
- grpcio ==1.22.0
- h5py ==2.9.0
- ipykernel ==5.1.1
- ipython ==7.6.1
- ipython-genutils ==0.2.0
- ipywidgets ==7.5.0
- jedi ==0.14.1
- joblib ==0.13.2
- jsonschema ==3.0.1
- jupyter ==1.0.0
- jupyter-client ==5.3.1
- jupyter-console ==6.0.0
- jupyter-core ==4.5.0
- kiwisolver ==1.1.0
- llvmlite ==0.29.0
- matplotlib ==3.1.1
- mistune ==0.8.4
- nbconvert ==5.5.0
- nbformat ==4.4.0
- notebook ==6.1.5
- numba ==0.44.1
- numpy ==1.16.4
- pandas ==0.25.0
- pandocfilters ==1.4.2
- parso ==0.5.1
- pexpect ==4.7.0
- pickleshare ==0.7.5
- prometheus-client ==0.7.1
- prompt-toolkit ==2.0.9
- protobuf ==3.9.0
- ptyprocess ==0.6.0
- pyparsing ==2.4.0
- pyrsistent ==0.15.3
- python-dateutil ==2.8.0
- pytz ==2019.1
- pyzmq ==18.0.2
- qtconsole ==4.5.1
- scikit-learn ==0.21.2
- scipy ==1.3.0
- six ==1.12.0
- tensorboard ==1.11.0
- tensorflow-gpu ==1.15.4
- termcolor ==1.1.0
- terminado ==0.8.2
- testpath ==0.4.2
- tornado ==6.0.3
- traitlets ==4.3.2
- wcwidth ==0.1.7
- webencodings ==0.5.1
- widgetsnbextension ==3.5.0
requirements.txt
pypi
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.0
- Markdown ==3.1.1
- Werkzeug ==0.15.5
- absl-py ==0.7.1
- astor ==0.8.0
- gast ==0.2.2
- grpcio ==1.22.0
- h5py ==2.9.0
- llvmlite ==0.29.0
- numba ==0.44.1
- numpy ==1.16.4
- protobuf ==3.9.0
- six ==1.12.0
- tensorboard ==1.11.0
- tensorflow-gpu ==1.15.4
- termcolor ==1.1.0