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kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
1.6k 335 +0/wk
GitHub
aleatoric-uncertainties bayes bayes-by-backprop bayesian-convnets bayesian-deep-learning bayesian-inference bayesian-network bayesian-networks bayesian-neural-networks bayesian-statistics convolutional-neural-networks image-recognition
Trend
3
Star & Fork Trend (22 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
kumar-shridhar/PyTorch-BayesianCNN has +0 stars this period . 7-day velocity: 0.1%.
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| Metric | PyTorch-BayesianCNN | awesome-diffusion-model-in-rl | kotlindl | DeepAA |
|---|---|---|---|---|
| Stars | 1.6k | 1.6k | 1.6k | 1.6k |
| Forks | 335 | 73 | 112 | 103 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | N/A | Kotlin | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | Apache-2.0 | Apache-2.0 | MIT |
Capability Radar vs awesome-diffusion-model-in-rl
PyTorch-BayesianCNN
awesome-diffusion-model-in-rl
Maintenance Activity 0
Last code push 720 days ago.
Community Engagement 100
Fork-to-star ratio: 21.3%. 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 MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.