Alternatives and similar repositories for IRDM

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

• juliagusak / neural-ode-norm
  Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"
  ☆16Updated 5 years ago
• juliagusak / neural-ode-metasolver
  Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
  ☆25Updated 4 years ago
• anabatsh / PROTES
  Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) f…
  ☆38Updated 6 months ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆88Updated 3 years ago
• juntang-zhuang / torch_ACA
  repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE
  ☆56Updated 4 years ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆38Updated 3 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆77Updated last year
• jrmcornish / cif
  PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
  ☆31Updated 4 years ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆84Updated 3 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆53Updated 2 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆53Updated 5 years ago
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆42Updated 5 years ago
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• cfinlay / ffjord-rnode
  Regularized Neural ODEs (RNODE)
  ☆85Updated 4 years ago
• maremun / quffka
  Quadrature-based features for kernel approximation
  ☆16Updated 7 years ago
• ymalitsky / adaptive_GD
  Adaptive gradient descent without descent
  ☆49Updated 4 years ago
• mfinzi / residual-pathway-priors
  ☆22Updated 3 years ago
• lorenzrichter / PDE-backward-solver
  ☆22Updated last year
• AlexandraVolokhova / stochasticity_in_neural_ode
  "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper
  ☆13Updated 5 years ago
• toshas / torch-householder
  Efficient Householder Transformation in PyTorch
  ☆66Updated 4 years ago
• gehring / fax
  ☆80Updated 4 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…
  ☆15Updated 5 years ago
• ermongroup / higher_order_invariance
  Code for "Accelerating Natural Gradient with Higher-Order Invariance"
  ☆30Updated 6 years ago
• juntang-zhuang / TorchDiffEqPack
  ☆48Updated 2 years ago
• necludov / oMCMC
  orbital MCMC
  ☆10Updated 4 years ago
• amirgholami / anode
  [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
  ☆106Updated 4 years ago
• fissoreg / relative-gradient-jacobian
  Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020
  ☆21Updated 4 years ago
• rballester / ttrecipes
  Metamodeling, sensitivity analysis and visualization using the tensor train format
  ☆21Updated 3 years ago
• necludov / iMCMC
  ☆22Updated 5 years ago