Alternatives and similar repositories for manifold-linearization

Users that are interested in manifold-linearization are comparing it to the libraries listed below

• Yiminghh / HOG-Diff
  ☆20Updated last year
• jmclong / random-fourier-features-pytorch
  Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
  ☆110Updated this week
• JAVI897 / Laplacian-Eigenmaps
  Implemented Laplacian Eigenmaps
  ☆20Updated 4 years ago
• giotto-ai / giotto-deep
  Deep learning made topological.
  ☆91Updated last year
• xbresson / Long_Tailed_Learning_Requires_Feature_Learning
  Repository for ICLR'23 Long-tailed Learning Requires Feature Learning
  ☆10Updated 2 years ago
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆38Updated last year
• tolgabirdal / PHDimGeneralization
  Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.
  ☆33Updated 10 months ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆37Updated 2 years ago
• MarcTLaw / UltrahyperbolicRepresentation
  Ultrahyperbolic Representation Learning
  ☆13Updated 5 years ago
• LuisScoccola / persistable
  density-based clustering for exploratory data analysis based on multi-parameter persistence
  ☆42Updated 6 months ago
• ThomasRobertFr / deep-learning-figures
  Figures I made during my PhD in Deep Learning, for my models and for context
  ☆86Updated 4 years ago
• c-hofer / jmlr_2019
  Code for JMLR paper ``Learning Representations of Persistence Barcodes``
  ☆24Updated 5 years ago
• PythonOT / COOT
  CO-Optimal Transport
  ☆42Updated 5 years ago
• MathieuCarriere / difftda
  Persistence differentiation with Gudhi and Tensorflow
  ☆20Updated 2 years ago
• Felix-Petersen / difftopk
  Differentiable Top-k Classification Learning
  ☆92Updated 3 years ago
• MinaGhadimiAtigh / hyperbolic_representation_learning
  The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
  ☆66Updated 3 years ago
• aidos-lab / pytorch-topological
  A topological machine learning framework based on PyTorch
  ☆200Updated this week
• rajesh-lab / deep_permutation_invariant
  Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."
  ☆29Updated 3 years ago
• scikit-tda / pervect
  Vectorization of persistence diagrams and approximate Wasserstein distance
  ☆28Updated 5 years ago
• liruilong940607 / NeuralODE
  The simplest pytorch implement (100 lines) of "Neural Ordinary Differential Equations" @ NeurIPS 2018 Best Paper.
  ☆83Updated 5 years ago
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆153Updated 4 years ago
• oxcsml / lie-transformer
  LieTransformer: Equivariant Self-Attention for Lie Groups
  ☆77Updated last year
• Iolo-Jones / DiffusionGeometry
  The code for "Computing Diffusion Geometry" (2026).
  ☆59Updated this week
• ELIFE-ASU / INNLab
  A python/pytorch package for invertible neural networks
  ☆70Updated 2 years ago
• vislearn / FFF
  Free-form flows are a generative model training a pair of neural networks via maximum likelihood
  ☆50Updated 7 months ago
• hchau630 / LSC
  Code for "Disentangling images with Lie group transformations and sparse coding" (2023).
  ☆13Updated 4 years ago
• arnab39 / equiadapt
  Library to make any existing neural network architecture equivariant
  ☆58Updated last year
• icemiliang / pyvot
  A Python implementation of Monge optimal transportation
  ☆49Updated 2 years ago
• rfeinman / pytorch-lasso
  L1-regularized least squares with PyTorch
  ☆72Updated 2 years ago
• berenslab / contrastive-ne
  Contrastive neighbor embeddings
  ☆57Updated 3 months ago