Alternatives and similar repositories for blackboxopt

Users that are interested in blackboxopt are comparing it to the libraries listed below

• bbopt / nomad
  NOMAD - A blackbox optimization software
  ☆147Updated 2 weeks ago
• fabian-sp / ncOPT
  Constrained optimization for Pytorch using the SQP-GS algorithm
  ☆38Updated last year
• boschresearch / torchphysics
  OSS library that implements deep learning methods for partial differential equations and much more
  ☆459Updated 4 months ago
• pnnl / NeuralDAEs
  Learning Neural Differential Algebraic Equations via Operator Splitting
  ☆21Updated 6 months ago
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆156Updated 2 years ago
• hippylib / soupy
  Stochastic Optimization under Uncertainty in Python.
  ☆36Updated 8 months ago
• yzshi5 / OpFlow
  code for "Universal Functional Regression with Neural Operator Flows" TMLR 2024
  ☆20Updated 7 months ago
• qiauil / torchfsm
  TorchFSM: Fourier Spectral Method with PyTorch
  ☆53Updated last week
• jkaardal / pyipm
  An interior-point method written in python for solving constrained and unconstrained nonlinear optimization problems.
  ☆84Updated 4 years ago
• mathLab / ATHENA
  ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
  ☆56Updated 2 years ago
• florisvb / PyNumDiff
  Methods for numerical differentiation of noisy data in python
  ☆130Updated last month
• ContiPaolo / EKF-SINDy
  Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)
  ☆67Updated 9 months ago
• Fraunhofer-IIS / fmugym
  Interface to connect Reinforcement Learning libraries to Functional Mock-up Units for control under uncertainties
  ☆28Updated 5 months ago
• PTNobel / AutoDiff
  An automatic differentiation library for Python+NumPy.
  ☆38Updated 11 months ago
• yunshengtian / AutoOED
  AutoOED: Automated Optimal Experimental Design Platform
  ☆144Updated 2 years ago
• erichanslee / GP_Derivatives
  Scalable Gaussian Process Regression with Derivatives
  ☆38Updated 7 years ago
• numericalalgorithmsgroup / pybobyqa
  Python-based Derivative-Free Optimization with Bound Constraints
  ☆91Updated last month
• secondmind-labs / trieste
  A Bayesian optimization toolbox built on TensorFlow
  ☆248Updated 3 weeks ago
• katiana22 / GDM-PCE
  Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
  ☆38Updated 3 years ago
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆214Updated 6 months ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆123Updated this week
• dynamicslab / modified-SINDy
  Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…
  ☆61Updated 3 years ago
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆82Updated 9 months ago
• hyumo / pysindy-gui
  PySINDy GUI
  ☆47Updated 2 years ago
• p-holl / PDE-Control
  Code for the ICLR 2020 paper "Learning to Control PDEs"
  ☆35Updated 5 years ago
• stephane-caron / pypoman
  Python module for polyhedral geometry
  ☆76Updated 9 months ago
• facebookresearch / robust_mobo
  Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"
  ☆57Updated 3 years ago
• pnnl / slim
  Drop-in replacements for PyTorch nn.Linear for stable learning and inductive priors in physics informed machine learning applications.
  ☆18Updated 2 years ago
• bodono / scs-python
  Python interface for SCS
  ☆45Updated last month
• JonathanWenger / itergp
  IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
  ☆43Updated 2 years ago