sun-umn / PyGRANSOLinks
PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation
☆42Updated last week
Alternatives and similar repositories for PyGRANSO
Users that are interested in PyGRANSO are comparing it to the libraries listed below
Sorting:
- NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning☆36Updated 3 years ago
- ☆15Updated 2 years ago
- Bayesian algorithm execution (BAX)☆50Updated 4 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 4 months ago
- Refining continuous-in-depth neural networks☆42Updated 3 years ago
- Nonparametric Differential Equation Modeling☆54Updated last year
- ☆16Updated 2 years ago
- Optimal transport and generalizations☆63Updated 6 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 4 years ago
- Library for Bayesian Quadrature☆32Updated 6 years ago
- Python-based Derivative-Free Optimization with Bound Constraints☆87Updated 11 months ago
- ☆50Updated last year
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 3 years ago
- Bayesian Optimization with Density-Ratio Estimation☆24Updated 2 years ago
- Learning unknown ODE models with Gaussian processes☆26Updated 7 years ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Updated last year
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Fast hyperparameter settings for non-smooth estimators:☆40Updated 2 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆55Updated last year
- Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"☆29Updated last month
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆50Updated 5 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Code for Learning Sparse Nonlinear Dynamics via Mixed Integer Optimization☆15Updated 3 years ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.☆58Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆137Updated 2 months ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated 2 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆22Updated 4 years ago