Alternatives and similar repositories for ETHz-AML-2020-Notes:

Users that are interested in ETHz-AML-2020-Notes are comparing it to the libraries listed below

• dsparber / algolab
  My solutions for the ETH Algorithms Lab 2020
  ☆37Updated 3 years ago
• efmkoene / AML-2018-cheatsheet
  Cheatsheet for Advanced Machine Learning exam @ ETH Zürich, 2018-2019.
  ☆11Updated 5 years ago
• pdebartol / aml-lecture-notes
  Advanced Machine Learning course at ETH Zürich Fall 2020
  ☆10Updated 2 years ago
• simon-hrabec / Algolab-2020
  Solutions for problems given in ETH course Algorithms Lab in Fall 2020
  ☆60Updated last year
• facebookresearch / riemannian-fm
  code for "Riemannian Flow Matching on General Geometries".
  ☆192Updated 10 months ago
• lucidrains / VN-transformer
  A Transformer made of Rotation-equivariant Attention using Vector Neurons
  ☆83Updated last year
• DominikPenk / mesh-signatures
  A small project implementing different per-vertex mesh signatures.
  ☆38Updated 5 months ago
• haeggee / algolab
  Algorithms Lab @ ETH Zurich, Fall 21
  ☆16Updated 2 years ago
• Wuziyi616 / multi_part_assembly
  Code Accompany NeurIPS 2022 Dataset Paper: Breaking Bad. A Shape Assembly Benchmark Implemented in PyTorch
  ☆72Updated 3 months ago
• Subhajit135 / CS236_DGM
  🦍 Stanford CS236 : Deep Generative Models
  ☆120Updated 6 years ago
• ke-li / dci-knn
  Fast k-Nearest Neighbour Search using Dynamic Continuous Indexing (DCI)
  ☆24Updated 8 months ago
• min-hieu / Tutorial_4
  A Tutorial for Diffusion Models
  ☆42Updated last year
• abdulfatir / langevin-monte-carlo
  A simple pytorch implementation of Langevin Monte Carlo algorithms.
  ☆46Updated 4 years ago
• janisgp / go_with_the_flows
  Official implementation of "Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generationand Reconstruction"
  ☆12Updated 3 years ago
• seungyeon-k / SMF-public
  [2022 ICML] A Statistical Manifold Framework for Point Cloud Data
  ☆19Updated 2 years ago
• xivid / Advanced-Machine-Learning-Projects
  Projects of Advanced Machine Learning, ETH Zürich, Fall 2018
  ☆9Updated 6 years ago
• ml-for-gp / jaxgptoolbox
  Geometry processing utilities compatible with jax for autodifferentiation.
  ☆85Updated last year
• riccardomarin / SpectralShapeAnalysis
  ☆13Updated 3 years ago
• pairlab / v-cdn
  [NeurIPS 2020] Causal Discovery in Physical Systems from Videos
  ☆77Updated 2 years ago
• 96lives / gca
  Official implementation of Generative Cellular Automata: ICLR 2021, 2022 (spotlight)
  ☆44Updated 2 years ago
• vsitzmann / neural-isometries
  Official JAX implementation of neural isometries - taming transformations for equivariant ML
  ☆34Updated 5 months ago
• ymerkli / eth-summaries
  Summaries and study materials I've written over the course of my studies at ETH Zurich
  ☆86Updated 3 years ago
• Rgtemze / HyperDiffusion
  Official code repository of "HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion" @ ICCV 2023
  ☆185Updated 7 months ago
• oxcsml / riemannian-score-sde
  Score-based generative models for compact manifolds
  ☆106Updated last year
• fwilliams / scalable-pytorch-sinkhorn
  ☆143Updated 2 years ago
• helblazer811 / diffusion-visualizations
  Visualizations of the theory behind diffusion models.
  ☆77Updated 8 months ago
• tomato1mule / edf
  [ICLR 2023] Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning
  ☆33Updated last year
• fywalter / CIL-Notes-2020
  Personal notes for Computational Intelligence Lab (CIL) 2020 by Prof. Thomas Hofmann at ETH Zurich
  ☆50Updated 4 years ago
• lrnzgiusti / awesome-topological-deep-learning
  A curated list of topological deep learning (TDL) resources and links.
  ☆230Updated last month
• UM-ARM-Lab / pytorch_volumetric
  Volumetric structures such as voxels and SDFs implemented in pytorch
  ☆130Updated 2 months ago