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
  ☆43Updated 6 years ago
• xuzhiqin1990 / F-Principle
  code to show F-Principle in the DNN training
  ☆59Updated 3 years ago
• KhrulkovV / tt-pytorch
  ☆59Updated 5 years ago
• tensorly / torch
  TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch
  ☆81Updated last year
• colehawkins / bayesian-tensor-rank-determination
  ☆13Updated 3 years ago
• toshas / sttp
  Spectral Tensor Train Parameterization of Deep Learning Layers
  ☆15Updated 4 years ago
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆62Updated 2 years ago
• orobix / fwdgrad
  Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch
  ☆114Updated 2 years ago
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆106Updated 5 years ago
• rballester / tntorch
  Tensor Network Learning with PyTorch
  ☆303Updated last year
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆113Updated 6 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
• kimiandj / gsw
  ☆42Updated 5 years ago
• nick11roberts / XD
  ☆12Updated 3 years ago
• pfnet-research / einconv
  ☆47Updated 6 years ago
• OPTML-Group / DeepZero
  [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…
  ☆66Updated last year
• pnnl / torchntk
  ☆28Updated 2 years ago
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆48Updated 4 years ago
• jacobgil / pytorch-tensor-decompositions
  PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.
  ☆288Updated 4 years ago
• burklight / nonlinear-IB-PyTorch
  Pytorch Implementation of the Nonlinear Information Bottleneck
  ☆41Updated last year
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆61Updated 3 years ago
• ryanchankh / mcr2
  Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)
  ☆201Updated 3 years ago
• zhaoyang-0204 / gnp
  gradient norm penalty
  ☆41Updated last year
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆77Updated last year
• Lingkai-Kong / SDE-Net
  Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
  ☆116Updated 5 years ago
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆120Updated 11 months ago
• roosephu / deep_matrix_factorization
  Code for Implicit Regularization in Deep Matrix Factorization.
  ☆37Updated last year
• meyerscetbon / LOT
  ☆17Updated 3 years ago
• Ma-Lab-Berkeley / MCR2
  ☆83Updated 4 years ago
• ryanchankh / redunet_paper
  Official NumPy Implementation of Deep Networks from the Principle of Rate Reduction (2021)
  ☆60Updated 4 years ago