Alternatives and similar repositories for TTDE

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

• maremun / quffka
  Quadrature-based features for kernel approximation
  ☆16Updated 6 years ago
• PetrMokrov / Large-Scale-Wasserstein-Gradient-Flows
  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
  ☆32Updated 3 years ago
• Daulbaev / IRDM
  ☆11Updated 4 years ago
• anabatsh / PROTES
  Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) f…
  ☆32Updated 2 weeks ago
• KhrulkovV / tt-pytorch
  ☆60Updated 4 years ago
• skolai / fewbit
  Compression schema for gradients of activations in backward pass
  ☆44Updated last year
• juliagusak / neural-ode-metasolver
  Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
  ☆25Updated 4 years ago
• On-Point-RND / EBES
  EBES: EASY BENCHMARKING FOR EVENT SEQUENCES
  ☆18Updated last month
• juliagusak / neural-ode-norm
  Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"
  ☆16Updated 5 years ago
• necludov / jam
  Implementation of Action Matching
  ☆41Updated last year
• milenagazdieva / LightUnbalancedOptimalTransport
  PyTorch implementation of "Light Unbalanced Optimal Transport" (NeurIPS 2024)
  ☆18Updated 4 months ago
• agadetsky / pytorch-pl-variance-reduction
  [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
  ☆37Updated 4 years ago
• bayesgroup / bayesgroup.github.io
  ☆83Updated 2 years ago
• AndreiChertkov / teneva
  A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
  ☆52Updated 10 months ago
• oseledets / nla2024
  Skoltech NLA 2024 course.
  ☆25Updated 5 months ago
• necludov / oMCMC
  orbital MCMC
  ☆10Updated 3 years ago
• rballester / ttrecipes
  Metamodeling, sensitivity analysis and visualization using the tensor train format
  ☆22Updated 2 years ago
• tt-embedding / tt-embeddings
  ☆27Updated 5 years ago
• necludov / wl-mechanics
  ☆32Updated 11 months ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆75Updated 9 months ago
• timgaripov / compositional-sculpting
  Code for paper "Compositional Sculpting of Iterative Generative Processes"
  ☆21Updated last year
• joneswack / dp-rfs
  This repository contains PyTorch implementations of various random feature maps for dot product kernels.
  ☆21Updated 10 months ago
• henrymoss / BOSS
  Bayesian Optimisation for String Spaces
  ☆24Updated 3 years ago
• jemisjoky / umps_code
  u-MPS implementation and experimentation code used in the paper Tensor Networks for Probabilistic Sequence Modeling (https://arxiv.org/ab…
  ☆19Updated 4 years ago
• nntile / nntile
  A neural network training framework within a task-based parallel programming paradigm
  ☆54Updated this week
• ihsuy / Train-by-Reconnect
  Official code for the NeurIPS 2020 paper Train by Reconnect: Decoupling Locations of Weights from Their Values by Yushi Qiu and Reiji Sud…
  ☆9Updated 4 years ago
• HazyResearch / structured-nets
  Structured matrices for compressing neural networks
  ☆66Updated last year
• xgfs / imd
  Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!
  ☆51Updated 5 years ago
• JunLi-Galios / Optimization-on-Stiefel-Manifold-via-Cayley-Transform
  Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform
  ☆40Updated 6 years ago
• eepperly / Randomly-Pivoted-Cholesky
  Code for the paper "Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations"
  ☆28Updated 7 months ago