Alternatives and similar repositories for HyperNOMAD

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

• phrsampaio / deft-funnel
  DEFT-FUNNEL: An open-source global optimization solver for constrained grey-box and black-box problems in Matlab.
  ☆11Updated 4 years ago
• cog-imperial / GPdoemd
  Design of experiments for model discrimination using Gaussian process surrogate models
  ☆36Updated 6 years ago
• IPL-UV / jaxkern
  A lightweight didactic library of kernel methods using the back-end JAX.
  ☆12Updated 2 years ago
• UCD4IDS / MultiscaleGraphSignalTransforms.jl
  MultiscaleGraphSignalTransforms.jl is a collection of software tools written in the Julia programming language for graph signal processin…
  ☆10Updated 2 years ago
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated last year
• microsoft / vi-hds
  Variational inference for hierarchical dynamical systems
  ☆48Updated 11 months ago
• lightonai / transfer-learning-opu
  Optical Transfer Learning
  ☆27Updated last year
• MethodsOfMachineLearning / entropy-search
  Entropy Search for Information-Efficient Global Optimization - JMLR v13
  ☆30Updated 8 years ago
• pnnl / slim
  Drop-in replacements for PyTorch nn.Linear for stable learning and inductive priors in physics informed machine learning applications.
  ☆18Updated last year
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆32Updated last year
• juliusberner / oberwolfach_workshop
  Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)
  ☆17Updated 2 years ago
• nicola-bastianello / tvopt
  tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization.
  ☆13Updated 2 years ago
• QUVA-Lab / COMBO
  ☆51Updated 11 months ago
• gauravdhama / eigengame_deepmind
  A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium
  ☆21Updated 4 years ago
• ndexter / MLFA
  Machine Learning Function Approximation: This code implements the fully-connected Deep Neural Network (DNN) architectures considered in t…
  ☆18Updated 4 years ago
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 5 years ago
• facebookresearch / alebo
  Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization
  ☆41Updated 3 years ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 4 years ago
• PythonOptimizers / NLP.py
  A Python environment for large-scale optimization.
  ☆30Updated 7 years ago
• operalib / operalib
  Learning with operator-valued kernels
  ☆22Updated 2 years ago
• oxfordcontrol / Bayesian-Optimization
  Reference implementation of Optimistic Expected Improvement.
  ☆49Updated 5 years ago
• cvxgrp / ncvx
  ☆76Updated 3 years ago
• juliusberner / deep_kolmogorov
  Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
  ☆22Updated 2 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆45Updated 5 years ago
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆38Updated 2 years ago
• kazukiosawa / ngd_in_wide_nn
  simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…
  ☆14Updated 4 years ago
• msuzen / bristol
  Parallel random matrix tools and complexity for deep learning
  ☆33Updated last year
• DiffEqML / tutorials
  ☆10Updated 3 years ago
• ahmedmalaa / Symbolic-Metamodeling
  Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.
  ☆50Updated 5 years ago