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.
  ☆32Updated 4 years ago
• efmkoene / AML-2018-cheatsheet
  Cheatsheet for Advanced Machine Learning exam @ ETH Zürich, 2018-2019.
  ☆11Updated 6 years ago
• igilitschenski / deep_bingham
  Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)
  ☆33Updated 9 months ago
• xivid / Advanced-Machine-Learning-Projects
  Projects of Advanced Machine Learning, ETH Zürich, Fall 2018
  ☆9Updated 6 years ago
• veroniquek / aml_cheatsheet
  Cheatsheet for the Advanced Machine Learning Lecture 2020, ETH Zurich
  ☆8Updated 4 years ago
• whuang08 / ROPTLIB
  ROPTLIB: Riemannian Manifold Optimization Library
  ☆72Updated 4 years ago
• seungyeon-k / SMF-public
  [2022 ICML] A Statistical Manifold Framework for Point Cloud Data
  ☆23Updated 2 years ago
• ZilinIB / ETH-Algolab
  Algorithm Lab 2020 at ETH
  ☆11Updated 4 years ago
• dellaert / robotics
  A jupyter book draft about robotics and factor graphs
  ☆49Updated last year
• JonasFrey96 / ASL_leonhard_euler
  ☆34Updated 3 years ago
• sailinglab / pgm-spring-2019
  Course webpage for PGM, Spring 2019.
  ☆76Updated 4 years ago
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆244Updated last week
• stanford-iprl-lab / torchfilter
  Bayesian filters in PyTorch
  ☆152Updated last year
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆186Updated 8 months ago
• nash169 / manifold-gp
  Repository containing the code for Implicit Manifold Gaussian Process.
  ☆14Updated 7 months ago
• KinglittleQ / torch-batch-svd
  A 100x faster SVD for PyTorch⚡️
  ☆469Updated 2 years ago
• utiasSTARS / bingham-rotation-learning
  A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.
  ☆186Updated 6 months ago
• akloss / differentiable_filters
  tensorflow code for differentiable filtering
  ☆29Updated 3 years ago
• anthonysimeonov / ndf_robot
  Implementation of the method proposed in the paper "Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation"
  ☆229Updated 2 years ago
• fywalter / CIL-Notes-2020
  Personal notes for Computational Intelligence Lab (CIL) 2020 by Prof. Thomas Hofmann at ETH Zurich
  ☆50Updated 4 years ago
• openopt / copt
  A Python library for mathematical optimization
  ☆139Updated 6 months ago
• mrsamsami / Convex-Optimization
  Implementation and analysis of convex optimization algorithms
  ☆11Updated 4 years ago
• Davmo049 / Public_prob_orientation_estimation_with_matrix_fisher_distributions
  ☆28Updated 3 years ago
• brentyi / jaxls
  Sparse nonlinear least squares in JAX
  ☆190Updated 2 weeks ago
• gwgundersen / ml
  A didactic Python library with well-commented and annotated implementations of machine learning algorithms.
  ☆52Updated 4 years ago
• papagina / RotationContinuity
  Coder for "On the Continuity of Rotation Representations"
  ☆352Updated 4 years ago
• tu-rbo / differentiable-particle-filters
  Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
  ☆184Updated last year
• daniilidis-group / cluster_tutorials
  Generic slurm tutorials that explain intricacies of the cluster as implemented
  ☆19Updated last year
• Jarrome / IMT_Mapping
  [RAL 2022] SE(3)-Transformation on Neural Implicit Maps for Remapping Functions (NIM Remapping = NIM-REM)
  ☆70Updated last year
• dsparber / algolab
  My solutions for the ETH Algorithms Lab 2020
  ☆35Updated 4 years ago