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.

Date Created 2017-09-15 (7 years ago)
Commits 1,863 (last one about a year ago)
Stargazers 313 (0 this week)
Watchers 19 (0 this week)
Forks 92
License gpl-2.0
Ranking

RepositoryStats indexes 612,937 repositories, of these accel-brain/accel-brain-code is ranked #132,872 (78th percentile) for total stargazers, and #117,642 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #23,049/123,798.

accel-brain/accel-brain-code is also tagged with popular topics, for these it's ranked: deep-learning (#2,798/8672),  reinforcement-learning (#407/1383),  generative-adversarial-network (#137/375),  deep-reinforcement-learning (#132/373),  transfer-learning (#79/320),  semi-supervised-learning (#34/177)

Other Information

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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59 commits on the default branch (master) since jan '22

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updated: 2025-02-05 @ 11:45am, id: 103709988 / R_kgDOBi59JA