crazydonkey200/neural-symbolic-machines

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

384 69 +0/wk

GitHub

deep-learning deep-reinforcement-learning program-synthesis reinforcement-learning rnn semantic-parsing tensorflow

Trend 0

Star & Fork Trend (18 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 384

forks 69

Growth Velocity

crazydonkey200/neural-symbolic-machines has +0 stars this period . Velocity data will be available after more historical data is collected.

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Metric	neural-symbolic-machines	vibe-remote	awesome-trustworthy-deep-learning	iSeeBetter
Stars	384	384	383	382
Forks	69	47	43	67
Weekly Growth	+0	+2	-1	+0
Language	Python	Python	N/A	C++
Sources	1	1	1	1
License	Apache-2.0	MIT	MIT	MIT

Capability Radar vs vibe-remote

neural-symbolic-machines

vibe-remote

Maintenance Activity 0

Last code push 1234 days ago.

Community Engagement 90

Fork-to-star ratio: 18.0%. 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 95

Licensed under Apache-2.0. Permissive — safe for commercial use.

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