WayneDW / Bayesian-Sparse-Deep-LearningLinks
Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)
☆20Updated 4 years ago
Alternatives and similar repositories for Bayesian-Sparse-Deep-Learning
Users that are interested in Bayesian-Sparse-Deep-Learning are comparing it to the libraries listed below
Sorting:
- ☆11Updated 4 years ago
- Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification☆107Updated 5 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Updated 3 years ago
- A pyTorch Extension for Applied Mathematics☆40Updated 5 years ago
- Matlab code for Low rank Matrix Factorization with AMP☆17Updated 10 years ago
- Multi-task Gaussian Process☆45Updated 10 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 5 years ago
- ☆21Updated 3 years ago
- ☆26Updated 7 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24Updated 7 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Based on M.E.Tipping. Sparse Bayesian Learning and the Relevance Vector Machine. JMLR, 1:211-244, 2001☆25Updated 9 years ago
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 6 years ago
- Gradient-based Adaptive Markov chain Monte Carlo☆31Updated 6 years ago
- nonconvex algorithms for solving sparse deconvolution/convolutional dictionary learning problems☆10Updated 6 years ago
- MATLAB codes for multilevel optimal transport☆26Updated 6 years ago
- LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms☆12Updated 4 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆29Updated 4 years ago
- ☆14Updated 3 years ago
- Data-guided physics-informed neural networks☆16Updated last year
- Deep Learning application to the partial differential equations☆30Updated 7 years ago
- ☆63Updated 6 years ago
- This includes codes for Alternating Direction Method of Multipliers (ADMM) on several interesting applications, such as Lq basis pursuit,…☆21Updated 10 years ago
- Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition☆40Updated 4 years ago
- ☆15Updated 2 years ago
- Python and MATLAB code for Stein Variational sampling methods☆27Updated 6 years ago
- ☆11Updated 4 years ago
- Code for Learning Sparse Nonlinear Dynamics via Mixed Integer Optimization☆16Updated 3 years ago
- ☆16Updated 3 years ago
- Bayesian System IDentification☆27Updated 7 years ago