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pypi.org : pydbm
`pydbm` is Python library for building Restricted Boltzmann Machine(RBM), Deep Boltzmann Machine(DBM), Long Short-Term Memory Recurrent Temporal Restricted Boltzmann Machine(LSTM-RTRBM), and Shape Boltzmann Machine(Shape-BM). From the view points of functionally equivalents and structural expansions, this library also prototypes many variants such as Encoder/Decoder based on LSTM, Convolutional Auto-Encoder, and Spatio-temporal Auto-Encoder.
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purl: pkg:pypi/pydbm
Keywords: restricted, boltzmann, machine, autoencoder, auto-encoder, rnn, rbm, rtrbm, convolution, deconvolution, spatio-temporal, 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: over 4 years ago
First release: over 6 years ago
Dependent repositories: 3
Downloads: 187 last month
Stars: 298 on GitHub
Forks: 92 on GitHub
Total Commits: 1784
Committers: 9
Average commits per author: 198.222
Development Distribution Score (DDS): 0.414
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Last synced: 27 days ago