Alternatives and similar repositories for opt_methods

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

• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆35Updated 2 years ago
• nlesc-dirac / pytorch
  Improved LBFGS and LBFGS-B optimizers in PyTorch.
  ☆65Updated last year
• PerformanceEstimation / PEPit
  PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
  ☆94Updated this week
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• QB3 / sparse-ho
  Fast hyperparameter settings for non-smooth estimators:
  ☆40Updated 2 years ago
• massastrello / awesome-implicit-neural-models
  ☆105Updated 4 years ago
• PerformanceEstimation / Performance-Estimation-Toolbox
  Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analy…
  ☆56Updated last year
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆21Updated 4 years ago
• gpeyre / 2021-NonCvxPro
  ☆11Updated 4 years ago
• ymalitsky / adaptive_GD
  Adaptive gradient descent without descent
  ☆50Updated 4 years ago
• gwgundersen / random-fourier-features
  Code for random Fourier features based on Rahimi and Recht's 2007 paper.
  ☆58Updated 4 years ago
• secondmind-labs / markovflow
  A Tensorflow based library for Time Series Modelling with Gaussian Processes
  ☆32Updated last year
• jejjohnson / gp_model_zoo
  Literature and light wrappers for gaussian process models.
  ☆47Updated 4 years ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 7 months ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆117Updated last month
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• pnkraemer / tornadox
  Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…
  ☆21Updated last year
• YinTat / optimizationbook
  ☆148Updated 6 months ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆69Updated 7 months ago
• f-dangel / phd-thesis
  Source code for my PhD thesis: Backpropagation Beyond the Gradient
  ☆20Updated 2 years ago
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆50Updated 6 months ago
• pnkraemer / probfindiff
  Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…
  ☆11Updated 2 years ago
• AlexandraVolokhova / stochasticity_in_neural_ode
  "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper
  ☆13Updated 5 years ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆147Updated last month
• cvxgrp / a2dr
  Anderson accelerated Douglas-Rachford splitting
  ☆29Updated 5 years ago
• stellatogrp / lropt
  ☆23Updated last week
• afqueiruga / StatefulOdeNets
  Refining continuous-in-depth neural networks
  ☆42Updated 4 years ago
• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆74Updated 4 years ago
• TimRoith / BregmanLearning
  Optimizing neural networks via an inverse scale space flow.
  ☆17Updated last year
• schmidtjonathan / probabilistic-ssm
  Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…
  ☆13Updated 3 years ago