AlaaLab/deep-learning-uncertainty

Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

638 78 +0/wk

GitHub

deep-learning deep-neural-networks prediction-uncertainty uncertainty-estimation uncertainty-quantification

Trend 0

Star & Fork Trend (17 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 638

forks 78

Growth Velocity

AlaaLab/deep-learning-uncertainty has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	deep-learning-uncertainty	Complete-Life-Cycle-of-a-Data-Science-Project	small-text	pytorch-randaugment
Stars	638	638	637	637
Forks	78	254	76	97
Weekly Growth	+0	+1	+0	+0
Language	Jupyter Notebook	N/A	Python	Python
Sources	1	1	1	1
License	N/A	MIT	MIT	MIT

Capability Radar vs Complete-Life-Cycle-of-a-Data-Science-Project

deep-learning-uncertainty

Complete-Life-Cycle-of-a-Data-Science-Project

Maintenance Activity 0

Last code push 1346 days ago.

Community Engagement 61

Fork-to-star ratio: 12.2%. 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 30

No clear license detected — proceed with caution.

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