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pypi.org : accel-brain-base
accel-brain-base is a basic library of the Deep Learning for rapid development at low cost. This library makes it possible to design and implement deep learning, which must be configured as a complex system, by combining a plurality of functionally differentiated modules such as a Deep Boltzmann Machines(DBMs), an Auto-Encoder, an Encoder/Decoder based on Long Short-Term Memory(LSTM), a Convolutional Auto-Encoder(CAE), and Transformer.
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purl: pkg:pypi/accel-brain-base
Keywords: Generative, Adversarial, Networks, Auto-Encoders, autoencoder, auto-encoder, convolution, deconvolution, encoder, decoder, LSTM, Deep, Q-Learning, Reinforcement, Learning, Boltzmann, Machines, Restricted, Machine, Ladder, semi-supervised, learning, DRCN, Self-supervised, attention, transformer, 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 2 years ago
First release: almost 4 years ago
Dependent repositories: 5
Downloads: 210 last month
Stars: 297 on GitHub
Forks: 92 on GitHub
Docker dependents: 1
Docker downloads: 70
Total Commits: 1784
Committers: 9
Average commits per author: 198.222
Development Distribution Score (DDS): 0.414
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Last synced: 5 days ago