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
• neurreps / awesome-neural-geometry
  A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
  ☆985Updated 4 months ago
• learning3d / assignment3
  Volume Rendering, Neural Radiance Fields, Neural Surfaces
  ☆25Updated 4 months ago
• hahnec / torchimize
  numerical optimization in pytorch
  ☆139Updated last year
• ke-li / dci-knn
  Fast k-Nearest Neighbour Search using Dynamic Continuous Indexing (DCI)
  ☆25Updated last year
• riccardomarin / SpectralShapeAnalysis
  ☆14Updated 4 years ago
• fwilliams / neural-splines
  Official Implementation of Neural Splines
  ☆93Updated 3 years ago
• maurock / DeepSDF
  Simple and intuitive implementation of DeepSDF that you can install with a single line of code.
  ☆87Updated last year
• cheind / torch-spherical-harmonics
  Real Spherical Harmonics for PyTorch
  ☆22Updated 2 years ago
• pymanopt / pymanopt
  Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
  ☆840Updated last month
• pdaicode / awesome-dynamic-NeRF
  A curated list of awesome neural radiance fields for dynamic scenes
  ☆62Updated 10 months ago
• jonbarron / tabilize
  Simple code for generating a color-coded latex table from raw data
  ☆197Updated last month
• veroniquek / aml_cheatsheet
  Cheatsheet for the Advanced Machine Learning Lecture 2020, ETH Zurich
  ☆7Updated 4 years ago
• dsparber / algolab
  My solutions for the ETH Algorithms Lab 2020
  ☆35Updated 4 years ago
• rangell / usbs
  ☆10Updated 11 months ago
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆354Updated last month
• zfc946 / CNF
  Official Implementation of Constrained Neural Fields (CNF)
  ☆13Updated last year
• martius-lab / hitchhiking-rotations
  Learning with 3D rotations, a hitchhiker’s guide to SO(3) - ICML 2024
  ☆251Updated last week
• thomgrand / torch_kdtree
  Port of cp_kdtree to pytorch
  ☆47Updated 4 months ago
• stanford-iprl-lab / torchfilter
  Bayesian filters in PyTorch
  ☆154Updated 2 years ago
• dongliangcao / Spectral-Meets-Spatial
  CVPR24: Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation
  ☆15Updated last year
• kwea123 / Coordinate-MLPs
  Experiments of coordinate MLPs
  ☆100Updated 3 years ago
• JonasFrey96 / ASL_leonhard_euler
  ☆36Updated 4 years ago
• ma-mehralian / cheat_sheets
  Some of my courses fragmentary cheat sheets in LaTex.
  ☆22Updated 9 years ago
• madvn / infotheory
  C++/Python Information theoretic analyses tools
  ☆40Updated 2 years ago
• ShenhanQian / slurmui
  ☆13Updated last week
• cvlab-epfl / cvlab-kubernetes-guide
  Instructions and utilities for use of EPFL's compute cluster.
  ☆25Updated last year
• wen-yuan-zhang / Fast-Learning-NeRF
  [TIP'2023] Fast Learning Radiance Fields by Shooting Much Fewer Rays, a general strategy to speed up the learning of radiance field
  ☆67Updated 10 months ago
• utiasSTARS / bingham-rotation-learning
  A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.
  ☆188Updated 10 months ago
• igilitschenski / deep_bingham
  Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)
  ☆35Updated last year