JP

thebuckleylab/jpc

Flexible Inference for Predictive Coding Networks in JAX.

79 6 +0/wk
GitHub New Signal
bidirectional-pc deep-learning energy-based-models hybrid-pc inference-learning jax local-learning neural-networks ode-solver predictive-coding
Trend 0

Star & Fork Trend (3 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

thebuckleylab/jpc has +0 stars this period . Velocity data will be available after more historical data is collected.

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Signal-backed technical analysis will be available soon.

Metric jpc TTVS hailort-drivers whos-there
Stars 79 788077
Forks 6 100406
Weekly Growth +0 +0+0+0
Language Python PythonCPython
Sources 1 111
License MIT N/AGPL-2.0MIT

Capability Radar vs TTVS

jpc
TTVS
Maintenance Activity 100

Last code push 1 days ago.

Community Engagement 38

Fork-to-star ratio: 7.6%. Lower fork ratio may indicate passive usage.

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 MIT. Permissive — safe for commercial use.

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