Alternatives and similar repositories for bi-tempered-loss:

Users that are interested in bi-tempered-loss are comparing it to the libraries listed below

• lessw2020 / mish
  Mish Deep Learning Activation Function for PyTorch / FastAI
  ☆161Updated 4 years ago
• alphadl / lookahead.pytorch
  lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch
  ☆334Updated 5 years ago
• pytorch / contrib
  Implementations of ideas from recent papers
  ☆391Updated 4 years ago
• mgrankin / over9000
  Over9000 optimizer
  ☆425Updated 2 years ago
• galatolofederico / pytorch-balanced-batch
  A pytorch dataset sampler for always sampling balanced batches.
  ☆111Updated 4 years ago
• sdoria / SimpleSelfAttention
  A simpler version of the self-attention layer from SAGAN, and some image classification results.
  ☆212Updated 5 years ago
• for-ai / Targeted-Dropout
  Complementary code for the Targeted Dropout paper
  ☆255Updated 5 years ago
• oval-group / smooth-topk
  Smooth Loss Functions for Deep Top-k Classification
  ☆249Updated 3 years ago
• lonePatient / lookahead_pytorch
  pytorch implement of Lookahead Optimizer
  ☆188Updated 2 years ago
• lessw2020 / Ranger-Mish-ImageWoof-5
  Repo to build on / reproduce the record breaking Ranger-Mish-SelfAttention setup on FastAI ImageWoof dataset 5 epochs
  ☆116Updated 5 years ago
• yu4u / mixup-generator
  An implementation of "mixup: Beyond Empirical Risk Minimization"
  ☆285Updated 7 years ago
• lessw2020 / Best-Deep-Learning-Optimizers
  Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable
  ☆211Updated 3 years ago
• CompVis / metric-learning-divide-and-conquer
  Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
  ☆264Updated 5 years ago
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆240Updated 2 years ago
• ildoonet / unsupervised-data-augmentation
  Unofficial PyTorch Implementation of Unsupervised Data Augmentation.
  ☆146Updated 4 years ago
• egg-west / AdamW-pytorch
  Implementation and experiments for AdamW on Pytorch
  ☆93Updated 5 years ago
• ecs-vlc / FMix
  Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'
  ☆333Updated 3 years ago
• wielandbrendel / bag-of-local-features-models
  Pretrained bag-of-local-features neural networks
  ☆312Updated 5 years ago
• ppwwyyxx / moco.tensorflow
  A TensorFlow re-implementation of Momentum Contrast (MoCo): https://arxiv.org/abs/1911.05722
  ☆161Updated last year
• google / mentornet
  Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
  ☆322Updated last year
• leehomyc / mixup_pytorch
  A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch
  ☆123Updated 7 years ago
• Yonghongwei / Gradient-Centralization
  A New Optimization Technique for Deep Neural Networks
  ☆535Updated 3 years ago
• zsef123 / EfficientNets-PyTorch
  A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."
  ☆309Updated 5 years ago
• eladhoffer / utils.pytorch
  Utilities for Pytorch
  ☆89Updated 2 years ago
• facebookresearch / semi-supervised-ImageNet1K-models
  Semi-supervised ImageNet1K models
  ☆241Updated 5 years ago
• joe-siyuan-qiao / WeightStandardization
  Standardizing weights to accelerate micro-batch training
  ☆546Updated 2 years ago
• vikasverma1077 / manifold_mixup
  Code for reproducing Manifold Mixup results (ICML 2019)
  ☆487Updated 9 months ago
• moskomule / homura
  homura is a library for fast prototyping DL research
  ☆107Updated 2 years ago
• BayesWatch / pytorch-prunes
  Code for https://arxiv.org/abs/1810.04622
  ☆140Updated 5 years ago
• kristpapadopoulos / keras-stochastic-weight-averaging
  Keras callback function for stochastic weight averaging
  ☆55Updated 2 years ago