Alternatives and similar repositories for snefy

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

• f-dangel / phd-thesis
  Source code for my PhD thesis: Backpropagation Beyond the Gradient
  ☆20Updated 2 years ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆50Updated 4 months ago
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆35Updated 2 years ago
• albcab / fmx
  Conditional Flow Matching using JAX
  ☆13Updated 2 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 5 months ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆135Updated this week
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• ludwigwinkler / pytorch_MCMC
  Lightweight MCMC sampling for PyTorch Models aka My Corona Project
  ☆48Updated last week
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆39Updated 3 months ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆67Updated 3 months ago
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago
• jamesvuc / jax-bayes
  Bayesian inference with Python and Jax.
  ☆34Updated 2 years ago
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆19Updated 3 years ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆47Updated last month
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆51Updated last year
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• wesselb / neuralprocesses
  A framework for composing Neural Processes in Python
  ☆85Updated 8 months ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆112Updated 5 months ago
• pierreablin / ksddescent
  Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities
  ☆21Updated last year
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆87Updated 2 years ago
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆34Updated 5 months ago
• jeremiecoullon / SGMCMCJax
  Lightweight library of stochastic gradient MCMC algorithms written in JAX.
  ☆104Updated last year
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆43Updated last year
• ermongroup / HyperSPN
  PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021
  ☆13Updated 3 years ago
• f-dangel / vivit
  [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…
  ☆17Updated 2 years ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• april-tools / squared-npcs
  Squared Non-monotonic Probabilistic Circuits
  ☆22Updated 7 months ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆171Updated 3 years ago