Alternatives and similar repositories for stochman

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

• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆77Updated 4 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆273Updated 2 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆120Updated 2 years ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆171Updated 3 years ago
• dimkal89 / rvae
  ☆38Updated 5 years ago
• lezcano / expm
  Differentiable and numerically stable implementation of the matrix exponential
  ☆33Updated 4 years ago
• geomstats / challenge-iclr-2022
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆52Updated 3 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year
• andres-fr / skerch
  Sketched matrix decompositions for PyTorch
  ☆70Updated last month
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆52Updated last year
• siplab-gt / VAELLS
  Code for "Variational Autoencoder with Learned Latent Structure"
  ☆34Updated 4 years ago
• google-research / ott
  ☆214Updated 3 years ago
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆40Updated last week
• j-wilson / GPflowSampling
  Code for efficiently sampling functions from GP(flow) posteriors
  ☆73Updated 4 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆108Updated last year
• cbg-ethz / bmi
  Mutual information estimators and benchmark
  ☆52Updated 7 months ago
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆138Updated 3 months ago
• google-deepmind / annealed_flow_transport
  ☆51Updated 2 years ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆282Updated 3 years ago
• lgresele / independent-mechanism-analysis
  Code for the paper: "Independent mechanism analysis, a new concept?"
  ☆24Updated 2 years ago
• CampusAI / Hamiltonian-Generative-Networks
  Re-implementation of Hamiltonian Generative Networks paper
  ☆33Updated 3 years ago
• JeremiasKnoblauch / GVIPublic
  Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
  ☆20Updated 6 years ago
• JTT94 / filterflow
  Extensible Tensorflow library for differentiable particle filtering. ICML 2021.
  ☆42Updated 2 years ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆84Updated 3 years ago
• juntang-zhuang / TorchDiffEqPack
  ☆48Updated last year
• mfinzi / LieConv
  ☆274Updated 2 years ago