Understanding Bayesian Classification
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Bayesian Neural Networks | 1,633 | 6 months ago | 5 | mit | Jupyter Notebook | |||||
| Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more | ||||||||||
| Gpstuff | 144 | a year ago | 7 | gpl-3.0 | MATLAB | |||||
| GPstuff - Gaussian process models for Bayesian analysis | ||||||||||
| Probqa | 46 | 2 years ago | 1 | agpl-3.0 | C++ | |||||
| Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service. | ||||||||||
| Trilearn | 12 | 3 months ago | 34 | September 29, 2023 | 1 | apache-2.0 | Python | |||
| Bayesian structure learning and classification in decomposable graphical models. | ||||||||||
| Balanced Nre | 9 | a year ago | bsd-3-clause | Jupyter Notebook | ||||||
| Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation". | ||||||||||
| Understanding Bayesian Classification | 8 | 2 years ago | apache-2.0 | Jupyter Notebook | ||||||
| On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification | ||||||||||
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