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.
RepositoryStats indexes 595,856 repositories, of these accel-brain/accel-brain-code is ranked #130,805 (78th percentile) for total stargazers, and #111,217 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #22,527/119,431.
accel-brain/accel-brain-code has Github issues enabled, there are 2 open issues and 26 closed issues.
Homepage URL: https://accel-brain.co.jp
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updated: 2024-12-21 @ 10:57am, id: 103709988 / R_kgDOBi59JA