Alternatives and similar repositories for tednet

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

• JunLi-Galios / Optimization-on-Stiefel-Manifold-via-Cayley-Transform
  Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform
  ☆44Updated 6 years ago
• xuzhiqin1990 / F-Principle
  code to show F-Principle in the DNN training
  ☆58Updated 3 years ago
• KhrulkovV / tt-pytorch
  ☆59Updated 5 years ago
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆63Updated 2 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆82Updated last year
• colehawkins / bayesian-tensor-rank-determination
  ☆13Updated 4 years ago
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆116Updated 6 years ago
• toshas / sttp
  Spectral Tensor Train Parameterization of Deep Learning Layers
  ☆17Updated 4 years ago
• meyerscetbon / LOT
  ☆18Updated 3 years ago
• Lingkai-Kong / SDE-Net
  Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
  ☆117Updated 5 years ago
• zeke-xie / stable-weight-decay-regularization
  [NeurIPS 2023] The PyTorch Implementation of Scheduled (Stable) Weight Decay.
  ☆62Updated 2 years ago
• singlasahil14 / SOC
  Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
  ☆18Updated 3 years ago
• nick11roberts / XD
  ☆12Updated 3 years ago
• rballester / tntorch
  Tensor Network Learning with PyTorch
  ☆305Updated last year
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆48Updated 4 years ago
• IlanPrice / DCTpS
  Code for testing DCT plus Sparse (DCTpS) networks
  ☆14Updated 4 years ago
• tolgabirdal / PHDimGeneralization
  Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.
  ☆33Updated 10 months ago
• YiteWang / NTK-SAP
  [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics
  ☆20Updated 2 years ago
• keivanalizadeh / ButterflyTransform
  ☆41Updated 4 years ago
• lushleaf / Network-Pruning-Greedy-Forward-Selection
  Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
  ☆21Updated 5 years ago
• kimiandj / gsw
  ☆42Updated 5 years ago
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆109Updated 5 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆41Updated 5 years ago
• Yu-Group / adaptive-wavelets
  Adaptive, interpretable wavelets across domains (NeurIPS 2021)
  ☆84Updated 4 years ago
• pfnet-research / einconv
  ☆47Updated 6 years ago
• HeddaCohenIndelman / Learning-Gumbel-Sinkhorn-Permutations-w-Pytorch
  LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH
  ☆81Updated 2 years ago
• Ma-Lab-Berkeley / MCR2
  ☆84Updated 4 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆59Updated 4 years ago
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆62Updated 3 years ago
• gpauloski / kfac-pytorch
  Distributed K-FAC preconditioner for PyTorch
  ☆94Updated last week