Alternatives and similar repositories for hyperbolic-tsne

Users that are interested in hyperbolic-tsne are comparing it to the libraries listed below

• FabianAltekrueger / NeuralWassersteinGradientFlows
  Implementation of the paper "Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels"
  ☆11Updated last year
• tung-nd / ExPT
  ☆18Updated last year
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated last year
• merlresearch / partial_gcnn
  Source code accompanying the NeurIPS 2022 paper "Learning Partial Equivariances From Data"
  ☆10Updated 3 years ago
• take-koshizuka / NLSB
  ☆21Updated 11 months ago
• clarafy / conformal-for-design
  ☆28Updated 3 years ago
• balintmate / boltzmann-interpolations
  ☆10Updated 2 years ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 3 years ago
• Haggaim / On-Learning-Sets-of-Symmetric-Elements
  Pytorch implementation of The ICML 2020 paper "On Learning Sets of Symmetric Elements" by Haggai Maron, Or Litany, Gal Chechik, Ethan Fet…
  ☆10Updated 4 years ago
• GFNOrg / multi-objective-gfn
  Code for "Multi-Objective GFlowNets"
  ☆17Updated 2 years ago
• olsdavis / fisher-flow
  Official implementation of Fisher-Flow Matching (NeurIPS 2024).
  ☆35Updated last year
• chrsmrrs / SpeqNets
  ☆11Updated 2 years ago
• GGchen1997 / BDI
  This repository is the official implementation of Bidirectional Learning for Offline Infinite-width Model-based Optimization (NeurIPS 202…
  ☆14Updated 3 years ago
• TianrongChen / DMSB
  Official implementation of Deep Momentum Schrödinger Bridge
  ☆28Updated 2 years ago
• federicobergamin / riemannian-laplace-approximation
  Repository for the paper "Riemannian Laplace approximations for Bayesian neural networks"
  ☆12Updated 2 years ago
• samuelstanton / conformal-bayesopt
  Bayesian optimization with conformal coverage guarantees
  ☆29Updated 3 years ago
• dimkal89 / rvae
  ☆37Updated 5 years ago
• aryandeshwal / LADDER
  Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.
  ☆13Updated 4 years ago
• bunnech / jkonet
  Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)
  ☆22Updated 2 years ago
• lmotte / graph-prediction-with-fused-gromov-wasserstein
  Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…
  ☆14Updated 3 years ago
• ZZYSonny / PlanE
  Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…
  ☆14Updated last year
• cscarv / riemannian-metric-learning-ot
  ☆18Updated 2 years ago
• AndyShih12 / mac
  PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Pa…
  ☆15Updated 2 years ago
• pmorenoz / ModularGP
  Modular Gaussian Processes
  ☆16Updated 4 years ago
• clementchadebec / geometric_perspective_on_vaes
  Code of "A Geometric Perspective on Variational Autoencoders" (NeurIPS 2022)
  ☆14Updated last year
• MichaelArbel / MMD-gradient-flow
  ☆12Updated last year
• kantamasuki / RGDM
  Implementations of the renormalization group-based diffusion model (RGDM).
  ☆15Updated 10 months ago
• henrymoss / BOSS
  Bayesian Optimisation for String Spaces
  ☆24Updated 4 years ago
• OliverVipond / Multiparameter_Persistence_Landscapes
  Python functions to compute multiparameter persistence landscapes from a RIVET file
  ☆14Updated last year
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆16Updated 2 years ago