accel-brain-base (pypi): 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.
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