Alternatives and similar repositories for kerNET

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

• 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
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆147Updated last year
• MinhyungCho / riemannian-batch-normalization-pytorch
  Riemannian approach to batch normalization
  ☆22Updated 8 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
• smortezavi / Randomized_SVD_GPU
  Attempt to speed Randomized SVD(Singular Value Decomposition) Using pytorch and it's gnu capabilities.
  ☆17Updated 7 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
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆55Updated 6 years ago
• yoonholee / MT-net
  Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"
  ☆38Updated 6 years ago
• AdrienLE / learning_by_grad_by_grad_repro
  Reproduction of "Learning to Learn by Gradient Descent by Gradient Descent"
  ☆48Updated 6 years ago
• thalitadru / LDMnet-pytorch
  Implementation of LDMnet in pytorch
  ☆22Updated 7 years ago
• fmeier / online-meta-learning
  ☆26Updated 7 years ago
• amirgholami / HessianFlow
  ☆83Updated 5 years ago
• dilinwang820 / nonlinear_svgd
  Nonlinear SVGD for Learning Diversified Mixture Models
  ☆13Updated 6 years ago
• lucfra / FAR-HO
  Gradient based hyperparameter optimization & meta-learning package for TensorFlow
  ☆190Updated 5 years ago
• rajatvd / NeuralODE
  Experiments with Neural ODEs and Adversarial Attacks
  ☆44Updated 6 years ago
• kylehkhsu / cactus-maml
  Code for Unsupervised Learning via Meta-Learning.
  ☆122Updated 6 years ago
• kilianFatras / variance_reduced_neural_networks
  Implementation of SVRG and SAGA optimization algorithms for deep learning topics.
  ☆74Updated 4 years ago
• eifuentes / swae-pytorch
  Implementation of the Sliced Wasserstein Autoencoder using PyTorch
  ☆102Updated 7 years ago
• modestyachts / neural_kernels_code
  ☆36Updated 4 years ago
• anokland / local-loss
  PyTorch code for training neural networks without global back-propagation
  ☆165Updated 6 years ago
• widedeepnetworks / widedeepnetworks
  Code for the paper Gaussian process behaviour in wide deep networks
  ☆46Updated 7 years ago
• Learning-and-Intelligent-Systems / Analytical-Learning-Theory
  97.39% on CIFAR10 with PyTorch
  ☆15Updated 6 years ago
• anonymone / Neural-Architecture-Search
  This repo is about NAS
  ☆26Updated 6 years ago
• phquang / Bilevel-Continual-Learning
  ☆10Updated 4 years ago
• ishansd / swg
  Sliced Wasserstein Generator
  ☆39Updated 7 years ago
• hehaodele / ProbGAN
  [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees
  ☆32Updated 5 years ago
• xianggebenben / dlADMM
  dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers
  ☆169Updated 2 years ago
• google / wasserstein-dist
  tensorflow implementation of the Wasserstein (aka optimal transport) distance
  ☆72Updated 4 years ago
• BaoWangMath / DNN-DataDependentActivation
  The code for the paper: https://arxiv.org/pdf/1802.00168.pdf
  ☆17Updated 6 years ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆27Updated 6 years ago