Alternatives and similar repositories for halfpres_gps:

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

• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆42Updated last year
• Zymrael / torchSODE
  PyTorch block-diagonal ODE CUDA solver, designed for gradient-based optimization
  ☆15Updated 4 years ago
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆18Updated 3 years ago
• QUVA-Lab / COMBO
  ☆50Updated 9 months ago
• ermongroup / SPN_Variational_Inference
  PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
  ☆17Updated 3 years ago
• IPL-UV / jaxkern
  A lightweight didactic library of kernel methods using the back-end JAX.
  ☆12Updated 2 years ago
• akshayka / hessian_trace_estimation
  Hessian trace estimation using PyTorch and Hutch++
  ☆19Updated 4 years ago
• mcbal / afem
  Implementation of approximate free-energy minimization in PyTorch
  ☆19Updated 3 years ago
• deep-spin / sparse_continuous_distributions
  This repository provides open-source code for sparse continuous distributions and corresponding Fenchel-Young losses.
  ☆16Updated last year
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 2 years ago
• LCSL / bless
  Fast algorithm for leverage score sampling, low rank (kernel) matrix factorization and PCA
  ☆16Updated last year
• AlCorreia / cm-tpm
  Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
  ☆12Updated 6 months ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• facebookresearch / SparseBO
  code associated with paper "Sparse Bayesian Optimization"
  ☆26Updated last year
• necludov / oMCMC
  orbital MCMC
  ☆10Updated 3 years ago
• necludov / iMCMC
  ☆22Updated 4 years ago
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 4 years ago
• facebookresearch / semi-discrete-flow
  code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"
  ☆26Updated 2 years ago
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 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
• 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
• wilson-ye-chen / sp-mcmc
  MATLAB code for Stein Point Markov Chain Monte Carlo.
  ☆13Updated 5 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆51Updated 4 years ago
• PrincetonLIPS / randomized_telescopes
  Code for "Efficient optimization of loops and limits with randomized telescoping sums"
  ☆27Updated 5 years ago
• rgiordan / paragami
  "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.
  ☆14Updated last year
• jgorham / SteinDiscrepancy.jl
  Practical tools for quantifying how well a sample approximates a target distribution
  ☆27Updated 4 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• MJHutchinson / ExtrinsicGaugeIndependentVectorGPs
  A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes
  ☆25Updated 3 years ago
• Sohl-Dickstein / Hamiltonian-Annealed-Importance-Sampling
  Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…
  ☆26Updated 10 years ago
• danieljtait / ladax
  Layered distributions using FLAX/JAX
  ☆10Updated 4 years ago