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GitHub / jaanli / variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaanli%2Fvariational-autoencoder
Stars: 1,121
Forks: 255
Open Issues: 2
License: mit
Language: Python
Repo Size: 94.7 KB
Dependencies:
33
Created: almost 8 years ago
Updated: 1 day ago
Last pushed: 23 days ago
Last synced: 30 minutes ago
Topics: autoregressive-neural-networks, deep, deep-learning, deep-neural-networks, learning, machine-learning, probabilistic-graphical-models, pytorch, tensorflow, unsupervised-learning, vae, variational-autoencoder, variational-inference
Files
Dependencies
- absl-py ==0.8.0
- astor ==0.8.0
- attrs ==19.1.0
- chardet ==3.0.4
- cloudpickle ==1.2.2
- decorator ==4.4.0
- dill ==0.3.0
- future ==0.17.1
- gast ==0.3.2
- google-pasta ==0.1.7
- googleapis-common-protos ==1.6.0
- grpcio ==1.23.0
- h5py ==2.10.0
- idna ==2.8
- keras-applications ==1.0.8
- keras-preprocessing ==1.1.0
- markdown ==3.1.1
- pip ==19.2.3
- promise ==2.2.1
- protobuf ==3.9.1
- psutil ==5.6.3
- requests ==2.22.0
- tensorboard ==1.14.0
- tensorflow ==1.14.0
- tensorflow-datasets ==1.2.0
- tensorflow-estimator ==1.14.0
- tensorflow-metadata ==0.14.0
- tensorflow-probability ==0.7.0
- termcolor ==1.1.0
- tqdm ==4.36.0
- urllib3 ==1.25.3
- werkzeug ==0.15.6
- wrapt ==1.11.2