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GitHub / tanliangwei / VAE-Spatial-Sample-Generator
This repository explores the possibility of using Variational Auto-Encoders (VAE) to learn the statistical characteristics of a certain specified dataset and generate samples having similar characteristics. This work presents an interesting direction of research for applications involving Approximate Query Processing (AQP) .
Stars: 0
Forks: 0
Open Issues: 16
License: None
Language: Jupyter Notebook
Repo Size: 42.1 MB
Dependencies:
106
Created: about 4 years ago
Updated: almost 4 years ago
Last pushed: over 1 year ago
Last synced: about 1 year ago
Files
Dependencies
- Jinja2 ==2.11.1
- Keras ==2.3.1
- Keras-Applications ==1.0.8
- Keras-Preprocessing ==1.1.0
- Markdown ==3.2.1
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- PTable ==0.9.2
- Pillow ==7.0.0
- PyYAML ==5.3
- Pygments ==2.5.2
- Rtree ==0.9.4
- Send2Trash ==1.5.0
- Werkzeug ==1.0.0
- absl-py ==0.9.0
- appnope ==0.1.0
- astor ==0.8.1
- attrs ==19.3.0
- backcall ==0.1.0
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- cachetools ==4.0.0
- certifi ==2019.11.28
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- cloudpickle ==1.3.0
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- xgboost ==0.7.post4
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