# accel-brain/accel-brain-code

<https://repo.masters-masters.com/en/repos/accel-brain/accel-brain-code>

[Home](https://repo.masters-masters.com/en) › [accel-brain](https://repo.masters-masters.com/en/owners/accel-brain) › [accel-brain-code](https://repo.masters-masters.com/en/repos/accel-brain/accel-brain-code)

accel-brain/accel-brain-code has 328 stars on GitHub. Its RepoMasters card: Alpha tier. The purpose of this repository is to make prototypes as case study in…

| Field | Value |
| --- | --- |
| Owner | [accel-brain](https://repo.masters-masters.com/en/owners/accel-brain) |
| Stars | 328 |
| Forks | 94 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-2.0 |
| Created | 2017 |
| Topics | automatic-summarization, deep-learning, deep-reinforcement-learning, reinforcement-learning, q-learning, restricted-boltzmann-machine, simulated-annealing, quantum-monte-carlo, quantum-annealing, auto-encoder |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [accel-brain/accel-brain-code](https://github.com/accel-brain/accel-brain-code) |

## Repository

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…

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.