hjmshi / noise-tolerant-bfgsLinks
☆19Updated 4 years ago
Alternatives and similar repositories for noise-tolerant-bfgs
Users that are interested in noise-tolerant-bfgs are comparing it to the libraries listed below
Sorting:
- Bayesian algorithm execution (BAX)☆55Updated 4 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Pytorch implementation of SuperPolyak subgradient method.☆43Updated 3 years ago
- Python library for parallel multiobjective simulation optimization☆87Updated last week
- ☆31Updated last year
- High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm☆29Updated 3 years ago
- Repository for paper: "SnAKe: Bayesian Optimization with Pathwise Exploration".☆17Updated last year
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 8 months ago
- ☆23Updated last year
- Python-based Derivative-Free Optimization with Bound Constraints☆91Updated 3 weeks ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆107Updated 2 years ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆42Updated 4 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆121Updated 3 weeks ago
- ☆30Updated 3 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆101Updated 8 months ago
- Turning SymPy expressions into PyTorch modules.☆156Updated 2 years ago
- Stencil computations in JAX☆71Updated last month
- Python Algorithms for Randomized Linear Algebra☆57Updated 2 years ago
- ☆112Updated 4 years ago
- Joint entropy search☆20Updated 3 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆88Updated last year
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆55Updated 4 years ago
- Visualize, create, and operate on pytrees in the most intuitive way possible.☆45Updated last year
- Simplicial Homology Global Optimization☆53Updated 9 months ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆58Updated 5 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated last month
- Python trust-region subproblem solvers for nonlinear optimization☆30Updated 3 weeks ago
- Documentation:☆125Updated 2 years ago
- ☆50Updated last year
- Deterministic particle dynamics for simulating Fokker-Planck probability flows☆26Updated 2 years ago