Alternatives and similar repositories for accbpg

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

• gpeyre / 2017-ot-beginners
  Optimal Transport for Dummies - Code, slides and article
  ☆33Updated 8 years ago
• ymalitsky / adaptive_GD
  Adaptive gradient descent without descent
  ☆52Updated 4 years ago
• DiffEqML / diffeqml-research
  This repository contains code released by DiffEqML Research
  ☆92Updated 3 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆89Updated 3 years ago
• afqueiruga / StatefulOdeNets
  Refining continuous-in-depth neural networks
  ☆42Updated 4 years ago
• juntang-zhuang / torch_ACA
  repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE
  ☆57Updated 4 years ago
• massastrello / awesome-implicit-neural-models
  ☆105Updated 5 years ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆85Updated 4 years ago
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆124Updated 5 years ago
• openopt / copt
  A Python library for mathematical optimization
  ☆141Updated last year
• nlesc-dirac / pytorch
  Improved LBFGS and LBFGS-B optimizers in PyTorch.
  ☆67Updated last year
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆172Updated 3 years ago
• AaltoML / SDE
  Example codes for the book Applied Stochastic Differential Equations
  ☆205Updated 3 months ago
• juntang-zhuang / TorchDiffEqPack
  ☆50Updated 2 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• cvxgrp / dccp
  A CVXPY extension for convex-concave programming
  ☆135Updated last month
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆42Updated 5 years ago
• mfinzi / constrained-hamiltonian-neural-networks
  ☆112Updated 4 years ago
• google-research / neural-structural-optimization
  Neural reparameterization improves structural optimization
  ☆127Updated 2 months ago
• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆45Updated 3 weeks ago
• DartML / Stein-Variational-Gradient-Descent
  code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
  ☆101Updated 6 years ago
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆79Updated 6 years ago
• thegregyang / NNspectra
  Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
  ☆48Updated 6 years ago
• devzhk / cgds-package
  Package for CGD and ACGD optimizers
  ☆20Updated 3 years ago
• pmelchior / proxmin
  Proximal optimization in pure python
  ☆118Updated 3 years ago
• google-deepmind / mc_gradients
  ☆172Updated last year
• bobby-he / Neural_Tangent_Kernel
  ☆68Updated 6 years ago
• juliagusak / neural-ode-norm
  Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"
  ☆16Updated 5 years ago
• google-research / ott
  ☆214Updated 4 years ago
• mctorch / mctorch
  A manifold optimization library for deep learning
  ☆252Updated 4 years ago