Alternatives and similar repositories for aml-lecture-notes:

Users that are interested in aml-lecture-notes are comparing it to the libraries listed below

• suniique / ETHz-AML-2020-Notes
  My lecture notes for Advance Machine Learning 2020 at ETH Zurich.
  ☆31Updated 3 years ago
• veroniquek / aml_cheatsheet
  Cheatsheet for the Advanced Machine Learning Lecture 2020, ETH Zurich
  ☆8Updated 3 years ago
• nash169 / manifold-gp
  Repository containing the code for Implicit Manifold Gaussian Process.
  ☆13Updated 5 months ago
• mishapadidar / GP-Derivatives-Variational-Inference
  ☆14Updated 3 years ago
• anucvml / ddn
  Deep Declarative Networks
  ☆241Updated 8 months ago
• igilitschenski / deep_bingham
  Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)
  ☆32Updated 6 months ago
• xivid / Advanced-Machine-Learning-Projects
  Projects of Advanced Machine Learning, ETH Zürich, Fall 2018
  ☆9Updated 6 years ago
• whuang08 / ROPTLIB
  ROPTLIB: Riemannian Manifold Optimization Library
  ☆72Updated 4 years ago
• zfc946 / CNF
  Official Implementation of Constrained Neural Fields (CNF)
  ☆11Updated last year
• Davmo049 / Public_prob_orientation_estimation_with_matrix_fisher_distributions
  ☆25Updated 3 years ago
• fwilliams / scalable-pytorch-sinkhorn
  ☆143Updated 2 years ago
• riccardomarin / SpectralShapeAnalysis
  ☆13Updated 3 years ago
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆183Updated 6 months ago
• efmkoene / AML-2018-cheatsheet
  Cheatsheet for Advanced Machine Learning exam @ ETH Zürich, 2018-2019.
  ☆11Updated 5 years ago
• stanford-iprl-lab / torchfilter
  Bayesian filters in PyTorch
  ☆151Updated last year
• DominikPenk / mesh-signatures
  A small project implementing different per-vertex mesh signatures.
  ☆38Updated 5 months ago
• mbudnins / parallel_transport_unfolding
  Parallel Transport Unfolding Codebase
  ☆15Updated 3 years ago
• fwilliams / neural-splines
  Official Implementation of Neural Splines
  ☆90Updated 3 years ago
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆226Updated this week
• akloss / differentiable_filters
  tensorflow code for differentiable filtering
  ☆29Updated 3 years ago
• maurock / DeepSDF
  Simple and intuitive implementation of DeepSDF that you can install with a single line of code.
  ☆68Updated last year
• gwgundersen / random-fourier-features
  Code for random Fourier features based on Rahimi and Recht's 2007 paper.
  ☆52Updated 4 years ago
• judelo / gmmot
  Python notebooks for Optimal Transport between Gaussian Mixture Models
  ☆41Updated 3 years ago
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆328Updated 10 months ago
• UMich-CURLY / se3_equivariant_place_recognition
  SE(3)-Equivariant Point Cloud-based Place Recognition
  ☆28Updated 8 months ago
• hahnec / torchimize
  numerical optimization in pytorch
  ☆134Updated 7 months ago
• minghanz / E2PN
  Efficient SE(3)-Equivariant Point Network
  ☆54Updated last year
• uncbiag / robot
  code for Fast Point Cloud Registration with Optimal Transport
  ☆97Updated 2 years ago
• hoonose / robust-filter
  [ICML 2017] Robust estimation of mean and covariance in high dimensions
  ☆34Updated 4 years ago
• ifilot / sphecerix
  Rotation of spherical harmonics using Wigner-D matrices
  ☆15Updated last year