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 last year
• april-tools / squared-npcs
  Squared Non-monotonic Probabilistic Circuits
  ☆20Updated this week
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆47Updated last year
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆82Updated last year
• JeremiasKnoblauch / GVIPublic
  Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
  ☆20Updated 5 years ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆42Updated last year
• google-deepmind / annealed_flow_transport
  ☆49Updated last year
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 3 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 3 years ago
• tranbahien / you-need-a-good-prior
  All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)
  ☆21Updated 2 years ago
• cambridge-mlg / sgd-gp
  Public code for running Stochastic Gradient Descent on GPs.
  ☆36Updated 2 months ago
• modichirag / GSM-VI
  Code for Gaussian Score Matching Variational Inference
  ☆28Updated 3 months ago
• 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…
  ☆20Updated 5 months ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆9Updated 2 years ago
• markvdw / RobustGP
  Robust initialisation of inducing points in sparse variational GP regression models.
  ☆32Updated 2 years ago
• pnkraemer / probdiffeq
  Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…
  ☆38Updated 2 months ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆71Updated 6 months ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆86Updated 2 years ago
• egstatsml / arxivsearch
  Pulls papers from arXiv on a weekly basis
  ☆30Updated last year
• ermongroup / HyperSPN
  PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021
  ☆13Updated 3 years ago
• ludwigwinkler / pytorch_MCMC
  Lightweight MCMC sampling for PyTorch Models aka My Corona Project
  ☆44Updated 4 years ago
• pnkraemer / matfree
  Matrix-free linear algebra in JAX.
  ☆113Updated last week
• LaurenceA / bayesfunc
  ☆15Updated 2 years ago
• pierreablin / ksddescent
  Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities
  ☆21Updated 9 months ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated last year
• cambridge-mlg / EinsumNetworks
  ☆50Updated last year
• probabilistic-numerics / probnum-spring-school
  Tutorial materials of the Probabilistic Numerics Spring School.
  ☆34Updated last year
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆61Updated 4 months ago
• AaltoML / PeriodicBNN
  Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)
  ☆18Updated 3 years ago
• AWehenkel / Graphical-Normalizing-Flows
  Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…
  ☆44Updated last year