Alternatives and similar repositories for AML-2018-cheatsheet

Users that are interested in AML-2018-cheatsheet 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
• ymerkli / eth-summaries
  Summaries and study materials I've written over the course of my studies at ETH Zurich
  ☆90Updated 4 years ago
• dsparber / algolab
  My solutions for the ETH Algorithms Lab 2020
  ☆35Updated 4 years ago
• fywalter / CIL-Notes-2020
  Personal notes for Computational Intelligence Lab (CIL) 2020 by Prof. Thomas Hofmann at ETH Zurich
  ☆50Updated 5 years ago
• dcetin / eth-cs-notes
  Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich
  ☆627Updated 3 years ago
• ZilinIB / ETH-Algolab
  Algorithm Lab 2020 at ETH
  ☆11Updated 4 years ago
• OpenCoreCH / ethz_cs_summaries
  Summaries / Cheat Sheets created at ETH Zurich BsC Computer Science & MsC Data Science
  ☆154Updated 3 years ago
• simon-hrabec / Algolab-2020
  Solutions for problems given in ETH course Algorithms Lab in Fall 2020
  ☆65Updated 2 years ago
• pdebartol / aml-lecture-notes
  Advanced Machine Learning course at ETH Zürich Fall 2020
  ☆10Updated 3 years ago
• UMich-CURLY / LieNeurons
  Adjoint-Equivariant Neural Network for Semi-Simple Lie Algebras
  ☆31Updated 3 weeks ago
• KonstantinosBarmpas / Advanced-Machine-Learning-Projects
  [ETH Zurich] My projects for the module "Advanced Machine Learning" at ETH Zürich (Swiss Federal Institute of Technology in Zurich) durin…
  ☆21Updated 4 years ago
• eth-cs-student-summaries / Introduction-to-Machine-Learning
  Summary for Introduction to machine learning at ETH Zürich (2019)
  ☆32Updated 5 years ago
• akloss / differentiable_filters
  tensorflow code for differentiable filtering
  ☆33Updated 4 years ago
• johny-c / mlcv-tutorial
  Assisting library for the ML4CV tutorial based on scikit-learn.
  ☆36Updated 4 years ago
• brentyi / jaxls
  Sparse nonlinear least squares in JAX
  ☆243Updated last month
• rangell / usbs
  ☆10Updated last year
• stanford-iprl-lab / torchfilter
  Bayesian filters in PyTorch
  ☆157Updated 2 years ago
• stevecheckoway / ucsddissertation
  LaTeX class file for writing dissertations at UC San Diego
  ☆107Updated 4 years ago
• facebookresearch / baspacho
  Direct solver for sparse SPD matrices for nonlinear optimization. Implements supernodal Cholesky decomposition algorithm, and supports GP…
  ☆93Updated this week
• Chen-Cai-OSU / awesome-equivariant-network
  Paper list for equivariant neural network
  ☆1,060Updated last year
• fdcl-gwu / FFTSO3
  Fast Fourier transform on SO(3)
  ☆29Updated 3 years ago
• FlyingGiraffe / vnn
  Vector Neurons: A General Framework for SO(3)-Equivariant Networks
  ☆498Updated 2 years ago
• utiasSTARS / liegroups
  Python implementation of SO2, SE2, SO3, and SE3 matrix Lie groups using numpy or pytorch
  ☆355Updated 6 months ago
• brentyi / jaxlie
  Rigid transforms + Lie groups for JAX
  ☆298Updated 5 months ago
• martius-lab / hitchhiking-rotations
  Learning with 3D rotations, a hitchhiker’s guide to SO(3) - ICML 2024
  ☆254Updated 3 months ago
• andyzeng / andyzeng.github.io
  ☆50Updated last week
• utiasSTARS / bingham-rotation-learning
  A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.
  ☆188Updated last year
• RumbleDB / bigdata-exercises
  Exercises for the Big Data lecture at ETH Zurich (Fall 2025)
  ☆164Updated this week
• igilitschenski / deep_bingham
  Code for "Deep Orientaton Uncertainty Learning based on a Bingham Loss" (ICLR2020)
  ☆35Updated last year
• JonasFrey96 / ASL_leonhard_euler
  ☆36Updated 4 years ago