Alternatives and similar repositories for Matrix-Fisher-Distribution

Users that are interested in Matrix-Fisher-Distribution are comparing it to the libraries listed below

• Davmo049 / Public_prob_orientation_estimation_with_matrix_fisher_distributions
  ☆28Updated 3 years ago
• fdcl-gwu / Matrix-Fisher-Gaussian-Code
  Attitude-Gyro bias estimation using matrix Fisher-Gaussian distributions
  ☆12Updated 4 years ago
• igilitschenski / deep_bingham
  Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)
  ☆34Updated 10 months ago
• fdcl-gwu / Matrix-Fisher-Gaussian
  Distribution and filtering on SO(3) x Euclidean space
  ☆10Updated 2 years ago
• fdcl-gwu / FFTSO3
  Fast Fourier transform on SO(3)
  ☆29Updated 3 years ago
• Gorilla-Lab-SCUT / SS-Conv
  Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses …
  ☆34Updated 3 years ago
• utiasSTARS / bingham-rotation-learning
  A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.
  ☆186Updated 7 months ago
• qq456cvb / SPRIN
  PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features
  ☆30Updated 3 years ago
• pimdh / relie
  Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups
  ☆52Updated 2 years ago
• nash169 / manifold-gp
  Repository containing the code for Implicit Manifold Gaussian Process.
  ☆15Updated 9 months ago
• peisuke / ImplicitGeometricRegularization.pytorch
  ☆56Updated last year
• minghanz / E2PN
  Efficient SE(3)-Equivariant Point Network
  ☆56Updated last year
• PKU-EPIC / RotationNormFlow
  Official code for "Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling" (CVPR 2023)
  ☆17Updated last year
• Multimodal3DVision / torch_bingham
  ☆24Updated 4 years ago
• ml-for-gp / jaxgptoolbox
  Geometry processing utilities compatible with jax for autodifferentiation.
  ☆88Updated last year
• brentyi / multimodalfilter
  ☆26Updated 3 years ago
• DAIRLab / contact-nets
  Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations
  ☆44Updated 3 years ago
• rubenwiersma / pointcloud-differential
  Gradient, divergence, Laplacian on point clouds. Useful for setting up and solving PDEs on point clouds and learning anisotropic features…
  ☆75Updated 2 years ago
• neka-nat / dq3d
  dual quaternion for 3d geometric operations
  ☆30Updated 5 years ago
• JYChen18 / RPMG
  [CVPR 2022] Projective Manifold Gradient Layer For Deep Rotation Regression
  ☆68Updated last month
• DesmondZhong / diff_sim_grads
  We compare the gradients calculated by different differentiable contact model implementations.
  ☆47Updated 2 years ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆42Updated last year
• qq456cvb / SemanticTransfer
  Code repo for the paper "Semantic Correspondence via 2D-3D-2D Cycle"
  ☆12Updated 4 years ago
• twmitchel / TS2Kit
  Differentiable Spherical Harmonic Transforms in PyTorch
  ☆17Updated 2 years ago
• JitengMu / A-SDF
  A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021)
  ☆91Updated 3 years ago
• tu-rbo / omip
  Framework for Online Interactive Perception (OMIP) for robots and system to perceive kinematic structures of articulated objects from int…
  ☆27Updated 5 years ago
• brown-ivl / ConDor
  [CVPR 2022] Official code release of ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes
  ☆55Updated 2 years ago
• stevenygd / NFGP
  Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
  ☆201Updated last year
• dmklee / image2sphere
  Method to predict distributions over 3D object rotation from 2D images
  ☆33Updated 2 years ago
• marcalexa / superfibonacci
  ☆15Updated 2 years ago