Alternatives and similar repositories for neural-ode-features

Users that are interested in neural-ode-features are comparing it to the libraries listed below

• 2prime / LM-ResNet
  Code For Beyond Finite Layer Neural Network:Bridging Deep Architects and Numerical Differential Equations
  ☆16Updated 6 years ago
• vislearn / IB-INN
  Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)
  ☆43Updated last year
• xuzhiqin1990 / F-Principle
  code to show F-Principle in the DNN training
  ☆59Updated 3 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• rajatvd / NeuralODE
  Experiments with Neural ODEs and Adversarial Attacks
  ☆44Updated 6 years ago
• icml-mcbn / mcbn
  ☆53Updated 7 years ago
• ioangatop / srVAE
  VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
  ☆78Updated 5 years ago
• Lingkai-Kong / SDE-Net
  Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
  ☆116Updated 5 years ago
• huangleiBuaa / ONI
  PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs
  ☆25Updated 4 years ago
• VITA-Group / Orthogonality-in-CNNs
  [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
  ☆129Updated 3 years ago
• yogeshbalaji / robustOT
  Robust Optimal Transport code
  ☆43Updated 3 years ago
• huangleiBuaa / OthogonalWN
  This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…
  ☆57Updated 5 years ago
• ZeWang95 / DCFNet-Pytorch
  Pytorch implementation for Decomposed Convolutional Filters Network
  ☆23Updated 5 years ago
• BaoWangMath / EnResNet
  ☆19Updated 6 years ago
• nasimrahaman / SpectralBias
  Code for "On the Spectral Bias of Neural Networks", to appear in ICML 2019 (Long Beach, CA).
  ☆113Updated 6 years ago
• avirmaux / lipEstimation
  ☆59Updated 2 years ago
• HaozhiQi / ISONet
  Deep Isometric Learning for Visual Recognition (ICML 2020)
  ☆143Updated 3 years ago
• juntang-zhuang / TorchDiffEqPack
  ☆48Updated 2 years ago
• fmi-basel / neural-tangent-transfer
  Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.
  ☆13Updated 5 years ago
• thalitadru / LDMnet-pytorch
  Implementation of LDMnet in pytorch
  ☆22Updated 7 years ago
• jovitalukasik / vs_gae
  ☆10Updated last year
• michaelshiyu / kerNET
  Modular learning for deep classifiers
  ☆23Updated 3 years ago
• liruilong940607 / NeuralODE
  The simplest pytorch implement (100 lines) of "Neural Ordinary Differential Equations" @ NeurIPS 2018 Best Paper.
  ☆82Updated 5 years ago
• roosephu / deep_matrix_factorization
  Code for Implicit Regularization in Deep Matrix Factorization.
  ☆37Updated last year
• lin-shuyu / ladder-latent-data-distribution-modelling
  In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…
  ☆41Updated 4 years ago
• jh-jeong / selective-convolution
  Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)
  ☆25Updated 6 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆35Updated 5 years ago
• LeungSamWai / Drop-Activation
  The official implementation of paper "Drop-Activation: Implicit Parameter Reduction and Harmonious Regularization".
  ☆10Updated 6 years ago
• VITA-Group / triple-wins
  [ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“
  ☆24Updated 3 years ago
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆50Updated 4 years ago