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GitHub / p16i / blackbox-optimization-using-rnns
This project is a part of "Neural Information Processing Project" taught at TU Berlin.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/p16i%2Fblackbox-optimization-using-rnns
Stars: 8
Forks: 2
Open Issues: 15
License: None
Language: Jupyter Notebook
Repo Size: 323 MB
Dependencies:
85
Created: about 7 years ago
Updated: about 2 months ago
Last pushed: over 1 year ago
Last synced: about 2 months ago
Topics: blackbox-optimization, deep-learning, gaussian-processes, lstm, tensorflow
Files
Dependencies
- Jinja2 ==2.9.6
- MarkupSafe ==1.0
- PyWaPa-3k ==0.1.1
- PyYAML ==3.12
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- Werkzeug ==0.12.2
- appdirs ==1.4.3
- appnope ==0.1.0
- bleach ==2.0.0
- boto ==2.47.0
- bz2file ==0.98
- certifi ==2017.4.17
- chardet ==3.0.4
- cmocean ==1.1
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- decorator ==4.0.11
- dill ==0.2.6
- en-core-web-sm ==1.2.0
- entrypoints ==0.2.2
- fire ==0.1.1
- ftfy ==4.4.3
- gensim ==2.2.0
- html5lib ==0.999999999
- idna ==2.5
- ipykernel ==4.6.1
- ipython ==5.4.0
- ipython-genutils ==0.2.0
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- jedi ==0.10.2
- jsonschema ==2.6.0
- jupyter ==1.0.0
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- matplotlib ==2.0.2
- mistune ==0.7.4
- murmurhash ==0.26.4
- nbconvert ==5.1.1
- nbformat ==4.3.0
- notebook ==5.0.0
- numpy ==1.12.1
- packaging ==16.8
- pandas ==0.20.1
- pandocfilters ==1.4.1
- pathlib ==1.0.1
- pexpect ==4.2.1
- pickleshare ==0.7.4
- plac ==0.9.6
- preshed ==1.0.0
- prettytable ==0.7.2
- prompt-toolkit ==1.0.14
- protobuf ==3.3.0
- ptyprocess ==0.5.1
- pyparsing ==2.2.0
- python-dateutil ==2.6.0
- pytz ==2017.2
- pyzmq ==16.0.2
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- six ==1.10.0
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- smart-open ==1.5.3
- spacy ==1.8.2
- tensorflow ==1.1.0
- termcolor ==1.1.0
- terminado ==0.6
- testpath ==0.3
- thinc ==6.5.2
- toolz ==0.8.2
- tornado ==4.5.1
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- traitlets ==4.3.2
- ujson ==1.35
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- wrapt ==1.10.10