Alternatives and similar repositories for Custom-Optimizer-on-Keras

Users that are interested in Custom-Optimizer-on-Keras are comparing it to the libraries listed below

• EsterHlav / Dynamical-Isometry-from-Orthogonality-Neural-Nets
  Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthog…
  ☆17Updated 6 years ago
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆23Updated 5 years ago
• sayakpaul / Sharpness-Aware-Minimization-TensorFlow
  Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.
  ☆61Updated 4 years ago
• AdamCobb / LCBNN
  ☆25Updated 3 years ago
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆96Updated 3 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆85Updated 4 years ago
• IssamLaradji / sls
  Implements stochastic line search
  ☆118Updated 2 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• 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
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• uber-research / GTN
  ☆79Updated 5 years ago
• fediazgon / pbt-keras
  Population Based Training of Neural Network implemented in Keras
  ☆35Updated 2 years ago
• shivram1987 / diffGrad
  diffGrad: An Optimization Method for Convolutional Neural Networks
  ☆55Updated 3 years ago
• 1202kbs / Robustness-and-Interpretability
  Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".
  ☆30Updated 6 years ago
• lnsmith54 / BOSS
  This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…
  ☆36Updated 5 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆36Updated 5 years ago
• xuwd11 / Dropout_Tutorial_in_PyTorch
  Dropout as Regularization and Bayesian Approximation
  ☆58Updated 7 years ago
• skolouri / swae
  Implementation of the Sliced Wasserstein Autoencoders
  ☆92Updated 7 years ago
• Randl / kmeans_selfsuper
  ☆55Updated 4 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆86Updated 4 years ago
• sayakpaul / Training-BatchNorm-and-Only-BatchNorm
  Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
  ☆29Updated 5 years ago
• eBay / AutoOpt
  Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent
  ☆46Updated 5 years ago
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆175Updated 4 years ago
• ariG23498 / G-SimCLR
  This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…
  ☆79Updated 4 years ago
• matthew-liu / beta-vae
  A Pytorch Implementation of the Beta-VAE
  ☆45Updated 6 years ago
• IssamLaradji / sps
  Official code for the Stochastic Polyak step-size optimizer
  ☆139Updated last year
• cambridge-mlg / cnn-gp
  Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…
  ☆32Updated 5 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 5 years ago
• sdoria / EfficientNet
  Converting EfficientNet to Pytorch for use with fastai
  ☆27Updated 6 years ago