Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
| Date | Stars |
|---|---|
| 2026-07-31 | 487 |
| 2026-08-01 | 487 |
| 2026-08-06 | 487 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Understanding Bayesian Deep Learning ## 1. Elementary mathematics - Set theory - Measure theory - Probability - Random variable - Random process - Functional analysis (harmonic analysis) ## 2. Gaussian process - Gaussian process - Weight-space view - Function-space view - Gaussian process latent variable model ## 3. Bayesian neural netwrok - Minimum description length - Ensemble learning in Bayesian neural network - Practical variational inference - Bayes by backprop - Summary of variational inference - Dropout as a Bayesian approximation - Stein variational gradient descent ## 4. Summary - Measure thoery - Probability - Random variable - Random process - Gaussian process - Functional Analysis - Summary of variational inference - Stein variational gradient descent ## 5. Uncertainty in Deep Learning - Yarin Gal, Uncertainty in Deep Learning - Anonymous, Bayesian Uncertainty Estimation for Batch Normalized Deep Networks - Patrick McClure, Representing Inferential Uncertainty in Deep Neural Networks through Sampling - Balaji Lakshminarayanan, Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles - Alex Kendal, What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? - Gregory Kahn, Uncertainty-Aware Reinforcement Learning for Collision Avoidance - Charles Richter, Safe Visual Navigation via Deep Learning and Novelty Detection - Sungjoon Choi, Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling
Excerpt of 1,530 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:492dd919b508dafa, topic:deep-learning