vikashg / Geometry-Reading-list

Related projects ⓘ

Alternatives and complementary repositories for Geometry-Reading-list

• emmanuel-hartman / H2_SurfaceMatch
  ☆17Updated 11 months ago
• tum-pbs / SIP
  Scale-invariant Learning by Physics Inversion (NeurIPS 2022)
  ☆10Updated 2 years ago
• geomstats / applications
  Examples of more involved applications using Geomstats
  ☆32Updated 3 years ago
• geomstats / challenge-iclr-2021
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆50Updated 2 years ago
• gd-vae / gd-vae
  Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …
  ☆24Updated last year
• ebekkers / gsplinets
  B-Spline CNNs on Lie groups
  ☆53Updated 4 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆68Updated last year
• HugoLav / DynamicalOTSurfaces
  ☆15Updated 6 years ago
• justachetan / DiffGeoOps
  Python implementation of the paper "Discrete Differential-Geometry Operators for Triangulated 2-Manifolds" by Meyer et. al. VisMath 2002
  ☆53Updated last year
• uncommoncode / morse_smale
  Python tools for Morse Smale Complex analysis and visualization
  ☆10Updated 3 years ago
• greydanus / optimize_wing
  We simulate a wind tunnel, place a rectangular occlusion in it, and then use gradient descent to turn the occlusion into a wing.
  ☆25Updated 4 years ago
• imbirik / LieStationaryKernels
  Supplementary code for the paper "Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces"
  ☆41Updated last year
• nmwsharp / discretization-robust-correspondence-benchmark
  Benchmark for the generalization of 3D machine learning models across different remeshing/samplings of a surface.
  ☆17Updated 3 years ago
• wzhi / ODElearning_INN
  [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks
  ☆9Updated last year
• olivierverdier / diffeopt
  Optimisation on Diffeomorphisms
  ☆12Updated last month
• bwohlberg / sporco-cuda
  CUDA extension for the SPORCO project
  ☆17Updated 3 years ago
• MJHutchinson / ExtrinsicGaugeIndependentVectorGPs
  A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes
  ☆25Updated 3 years ago
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 4 years ago
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆62Updated last year
• leonidk / direct_gmm
  Project code for "Direct Fitting of Gaussian Mixture Models"
  ☆18Updated 2 years ago
• spbu-math-cs / Riemannian-Gaussian-Processes
  Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".
  ☆27Updated 3 years ago
• holl- / PDE-Control
  Code for the ICLR 2020 paper "Learning to Control PDEs"
  ☆31Updated 4 years ago
• nbonneel / spot
  SPOT: Sliced Partial Optimal Transport
  ☆61Updated 4 years ago
• xbresson / IPAM_Tutorial_2019
  Notebooks for IPAM Tutorial, March 15 2019
  ☆24Updated 5 years ago
• jeanfeydy / global-divergences
  MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.
  ☆54Updated 5 years ago
• sophiaas / spectral-universality
  Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"
  ☆32Updated 9 months ago
• mfinzi / residual-pathway-priors
  ☆17Updated 2 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 2 years ago
• oxcsml / constrained-diffusion
  ☆15Updated last year