GitHub / accel-brain / accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

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Commits: 1784
Authors: 9
Mean commits per author: 198.22
Development Distribution Score: 0.414
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Topics: auto-encoder, 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

• Files
• Readme
• Dependencies