Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Paper Reading | 64 | 6 years ago | mit | |||||||
Paper Reading | ||||||||||
Bayesiansvm | 16 | 4 years ago | Julia | |||||||
Source code of the Bayesian SVM described in the paper by Wenzel et al. "Bayesian Nonlinear Support Vector Machines for Big Data" | ||||||||||
Ursabench | 12 | 2 years ago | 1 | other | Python | |||||
Codebase for our paper "URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks" | ||||||||||
Manifold Mcmc For Diffusions | 10 | a year ago | 1 | mit | Jupyter Notebook | |||||
Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models' | ||||||||||
Balanced Nre | 9 | 2 years ago | bsd-3-clause | Jupyter Notebook | ||||||
Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation". | ||||||||||
Mcmc Estimation Of Stochastic Differential Equations Papers | 8 | 6 years ago | mit | TeX | ||||||
A list (quite disorganized for now) of papers tackling the Bayesian estimation of Ito processes (and their discrete time version) | ||||||||||
Understanding Bayesian Classification | 8 | 2 years ago | apache-2.0 | Jupyter Notebook | ||||||
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification | ||||||||||
Pac Bayesian Theory Meets Bayesian Inference | 6 | 8 years ago | bsd-2-clause | Python | ||||||
Code to related to my NIPS 2016 paper | ||||||||||
Bayesiandeeplearning | 6 | 5 years ago | ||||||||
Overview of Bayesian Deep Learning | ||||||||||
Pycbc Inference Paper | 6 | 6 years ago | 2 | Jupyter Notebook | ||||||
Data Release associated with the PyCBC Inference paper. This includes posterior samples for GW150914, LVT151012, and GW151226 along with configuration files and run scripts, |