Alternatives and similar repositories for AdaBound-Tensorflow

Users that are interested in AdaBound-Tensorflow are comparing it to the libraries listed below

• taki0112 / RAdam-Tensorflow
  Simple Tensorflow implementation of "On The Variance Of The Adaptive Learning Rate And Beyond"
  ☆97Updated 5 years ago
• anandsaha / pytorch.cyclic.learning.rate
  Using the CLR algorithm for training (https://arxiv.org/abs/1506.01186)
  ☆108Updated 7 years ago
• Kyubyong / label_smoothing
  Corrupted labels and label smoothing
  ☆129Updated 8 years ago
• titu1994 / keras-adabound
  Keras implementation of AdaBound
  ☆130Updated 6 years ago
• Cohere-Labs-Community / Targeted-Dropout
  Complementary code for the Targeted Dropout paper
  ☆256Updated 6 years ago
• taki0112 / AMSGrad-Tensorflow
  Simple Tensorflow implementation of "On the Convergence of Adam and Beyond" (ICLR 2018)
  ☆104Updated 6 years ago
• chenxi116 / PNASNet.TF
  TensorFlow implementation of PNASNet-5 on ImageNet
  ☆101Updated 7 years ago
• joeyearsley / efficient_densenet_tensorflow
  A memory efficient implementation of densenet.
  ☆82Updated 5 years ago
• juefeix / pnn.pytorch
  PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html
  ☆138Updated 7 years ago
• chainer / models
  Models and examples built with Chainer
  ☆118Updated 3 years ago
• egg-west / AdamW-pytorch
  Implementation and experiments for AdamW on Pytorch
  ☆94Updated 6 years ago
• iacolippo / octconv-pytorch
  Implementation of OctConv in Pytorch (https://arxiv.org/abs/1904.05049)
  ☆214Updated 6 years ago
• koshian2 / OctConv-TFKeras
  Unofficial implementation of Octave Convolutions (OctConv) in TensorFlow / Keras.
  ☆100Updated 5 years ago
• noahfl / densenet-sdr
  repo that holds code for improving on dropout using Stochastic Delta Rule
  ☆141Updated 6 years ago
• narumiruna / pytorch-distributed-example
  ☆169Updated 4 years ago
• sgugger / Adam-experiments
  Experiments with Adam/AdamW/amsgrad
  ☆201Updated 7 years ago
• yu4u / mixup-generator
  An implementation of "mixup: Beyond Empirical Risk Minimization"
  ☆285Updated 8 years ago
• shaohua0116 / Group-Normalization-Tensorflow
  A TensorFlow implementation of Group Normalization on the task of image classification
  ☆207Updated 7 years ago
• lessw2020 / mish
  Mish Deep Learning Activation Function for PyTorch / FastAI
  ☆161Updated 5 years ago
• pytorch / contrib
  Implementations of ideas from recent papers
  ☆392Updated 5 years ago
• danielhavir / capsule-network
  PyTorch implementation of the paper Dynamic Routing Between Capsules by Sara Sabour, Nicholas Frosst and Geoffrey Hinton
  ☆170Updated 7 years ago
• GLambard / AdamW_Keras
  AdamW optimizer for Keras
  ☆116Updated 6 years ago
• ceykmc / pytorch_model_summary
  pytorch model summary, statistic parameters number, memory usage, FLOPs and so on
  ☆98Updated 5 years ago
• leftthomas / CapsNet
  A PyTorch implementation of CapsNet based on NIPS 2017 paper "Dynamic Routing Between Capsules"
  ☆159Updated 6 years ago
• tensorpack / dataflow
  Efficient Data Loading Pipeline in Pure Python
  ☆213Updated 5 years ago
• kakaobrain / autoclint
  A specially designed light version of Fast AutoAugment
  ☆171Updated 5 years ago
• gzuidhof / nn-transfer
  Convert trained PyTorch models to Keras, and the other way around
  ☆223Updated 7 years ago
• sdoria / SimpleSelfAttention
  A simpler version of the self-attention layer from SAGAN, and some image classification results.
  ☆214Updated 6 years ago
• mingxingtan / efficientnet
  EfficientNets snapshot
  ☆91Updated 6 years ago
• cgnorthcutt / benchmarking-keras-pytorch
  🔥 Reproducibly benchmarking Keras and PyTorch models
  ☆367Updated 4 years ago