Alternatives and similar repositories for topnn_framework

Users that are interested in topnn_framework are comparing it to the libraries listed below

• geomstats / challenge-iclr-2022
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆52Updated 3 years ago
• stefaniaebli / simplicial_neural_networks
  Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…
  ☆79Updated 4 years ago
• mfinzi / LieConv
  ☆274Updated 2 years ago
• aidos-lab / pytorch-topological
  A topological machine learning framework based on PyTorch
  ☆186Updated last month
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆150Updated 3 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆91Updated last year
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆270Updated 2 years ago
• g-benton / loss-surface-simplexes
  ☆100Updated 3 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆77Updated 4 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆119Updated 2 years ago
• c-hofer / torchph
  The essence of my research, distilled for reusability. Enjoy 🥃!
  ☆69Updated 11 months ago
• aidos-lab / curvature-filtrations
  SCOTT: Synthesizing Curvature Operations and Topological Tools
  ☆14Updated last month
• Chen-Cai-OSU / Topology-and-Learning
  Papers on Topology + Learning.
  ☆14Updated 5 years ago
• lezcano / expm
  Differentiable and numerically stable implementation of the matrix exponential
  ☆33Updated 4 years ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆171Updated 3 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• awesome-tnns / awesome-tnns
  ☆175Updated last year
• bruel-gabrielsson / TopologyLayer
  A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch
  ☆405Updated last year
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• BorgwardtLab / Neural-Persistence
  Code for the paper 'Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology'
  ☆31Updated 6 years ago
• geomstats / challenge-iclr-2021
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆50Updated 2 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆80Updated last year
• deeprob-org / deeprob-kit
  A Python Library for Deep Probabilistic Modeling
  ☆61Updated 9 months ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆51Updated last year
• HEmile / storchastic
  Stochastic Automatic Differentiation library for PyTorch.
  ☆205Updated 11 months ago
• simonzhang00 / ripser-plusplus
  Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes
  ☆111Updated 2 years ago
• joeybose / HyperbolicNF
  ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
  ☆54Updated 2 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆84Updated last year
• scikit-tda / persim
  Distances and representations of persistence diagrams
  ☆131Updated 4 months ago
• phlippe / CategoricalNF
  Official repository for "Categorical Normalizing Flows via Continuous Transformations"
  ☆57Updated 4 years ago