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pypi.org : pygan

pygan is Python library to implement Generative Adversarial Networks(GANs), Conditional GANs, Adversarial Auto-Encoders(AAEs), and Energy-based Generative Adversarial Network(EBGAN).

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purl: pkg:pypi/pygan
Keywords: Generative , Adversarial , Networks , Auto-Encoders , autoencoder , auto-encoder , convolution , deconvolution , encoder , decoder , LSTM , automatic-summarization , combinatorial-optimization , deep-learning , deep-q-network , deep-reinforcement-learning , energy-based-model , generative-adversarial-network , lstm , multi-agent-reinforcement-learning , q-learning , quantum-annealing , quantum-monte-carlo , reinforcement-learning , restricted-boltzmann-machine , self-supervised-learning , semi-supervised-learning , simulated-annealing , transfer-learning
License: GPL-2.0
Latest release: almost 3 years ago
First release: about 6 years ago
Dependent packages: 1
Dependent repositories: 3
Downloads: 331 last month
Stars: 314 on GitHub
Forks: 91 on GitHub
Total Commits: 1784
Committers: 9
Average commits per author: 198.222
Development Distribution Score (DDS): 0.414
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: about 1 month ago

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