Alternatives and similar repositories for diffGrad:

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

• noahgolmant / pytorch-lr-dropout
  "Learning Rate Dropout" in PyTorch
  ☆34Updated 5 years ago
• Randl / kmeans_selfsuper
  ☆54Updated 3 years ago
• lucidrains / hamburger-pytorch
  Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"
  ☆98Updated 4 years ago
• Yonghongwei / Advanced-optimizer-with-Gradient-Centralization
  Advanced optimizer with Gradient-Centralization
  ☆21Updated 4 years ago
• matej-ulicny / harmonic-networks
  ☆57Updated 2 years ago
• fabio-deep / ReZero-ResNet
  Unofficial pytorch implementation of ReZero in ResNet
  ☆23Updated 4 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 4 years ago
• isaaccorley / mlp-mixer-pytorch
  PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021)
  ☆30Updated 3 years ago
• vinbhaskara / adams
  Exploiting Uncertainty of Loss Landscape for Stochastic Optimization
  ☆15Updated 5 years ago
• neilliang90 / Sadam
  ☆14Updated 5 years ago
• uclaml / Padam
  Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …
  ☆39Updated last year
• ispgroupucl / layer-rotation-tools
  Implementation of tools to control and monitor layer rotation in different DL libraries
  ☆40Updated 5 years ago
• izmailovpavel / torch_swa_examples
  ☆47Updated 4 years ago
• HuangxingLin123 / Learning-Rate-Dropout
  Pytorch implementation of Learning Rate Dropout.
  ☆42Updated 5 years ago
• Separius / CudaRelativeAttention
  custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
  ☆43Updated 4 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• ppwwyyxx / FRN-on-common-ImageNet-baseline
  Filter Response Normalization tested on better ImageNet baselines.
  ☆35Updated 4 years ago
• digantamisra98 / EvoNorm
  Unofficial PyTorch Implementation of EvoNorm
  ☆121Updated 3 years ago
• JingzhaoZhang / why-clipping-accelerates
  A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…
  ☆44Updated 5 years ago
• ahmdtaha / softmax_triplet_loss
  (WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer
  ☆22Updated 3 years ago
• bamps53 / SeesawLoss
  ☆25Updated 4 years ago
• xternalz / SDPoint
  Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
  ☆18Updated 5 years ago
• lucidrains / all-normalization-transformer
  A simple Transformer where the softmax has been replaced with normalization
  ☆19Updated 4 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 4 years ago
• tbachlechner / ReZero-examples
  PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"
  ☆62Updated 6 months ago
• JiJingYu / delta_orthogonal_init_pytorch
  Delta Orthogonal Initialization for PyTorch
  ☆18Updated 6 years ago
• Learning-and-Intelligent-Systems / Analytical-Learning-Theory
  97.39% on CIFAR10 with PyTorch
  ☆15Updated 5 years ago
• iVMCL / AttentiveNorm_Detection
  AttentiveNorm_Detection(built on Open MMLab Detection Toolbox and Benchmark)
  ☆22Updated 4 years ago
• dizam92 / pyTorchReg
  Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.
  ☆38Updated 2 years ago
• ml-research / pau
  Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network
  ☆63Updated 3 years ago