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.

323 92 +0/wk

GitHub

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

Trend 0

Star & Fork Trend (17 data points)

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GitHub

stars 323

forks 92

Growth Velocity

accel-brain/accel-brain-code has +0 stars this period . Velocity data will be available after more historical data is collected.

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Metric	accel-brain-code	simglucose	physicsnemo-sym	dlpython_course
Stars	323	323	323	323
Forks	92	140	121	238
Weekly Growth	+0	+0	+0	-1
Language	Python	Python	Python	Jupyter Notebook
Sources	1	1	1	1
License	GPL-2.0	MIT	Apache-2.0	N/A

Capability Radar vs simglucose

accel-brain-code

simglucose

Maintenance Activity 0

Last code push 835 days ago.

Community Engagement 100

Fork-to-star ratio: 28.5%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 70

Licensed under GPL-2.0. Copyleft — check compatibility requirements.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.