Alternatives and similar repositories for smooth-topk:

Users that are interested in smooth-topk are comparing it to the libraries listed below

• eladhoffer / utils.pytorch
  Utilities for Pytorch
  ☆89Updated 2 years ago
• vikasverma1077 / ICT
  Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)
  ☆145Updated 2 years ago
• yulongwang12 / visual-attribution
  Pytorch Implementation of recent visual attribution methods for model interpretability
  ☆145Updated 4 years ago
• anandsaha / pytorch.cyclic.learning.rate
  Using the CLR algorithm for training (https://arxiv.org/abs/1506.01186)
  ☆108Updated 6 years ago
• facebookresearch / DeeperCluster
  Implements the unsupervised pre-training of convolutional neural networks
  ☆249Updated 3 years ago
• benathi / fastswa-semi-sup
  Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
  ☆185Updated 6 years ago
• sdoria / SimpleSelfAttention
  A simpler version of the self-attention layer from SAGAN, and some image classification results.
  ☆212Updated 5 years ago
• hysts / pytorch_shake_shake
  A PyTorch implementation of shake-shake
  ☆111Updated 4 years ago
• lanpa / tensorboard-pytorch-examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆83Updated 6 years ago
• rahulkidambi / AccSGD
  Implements pytorch code for the Accelerated SGD algorithm.
  ☆215Updated 6 years ago
• pytorch / contrib
  Implementations of ideas from recent papers
  ☆391Updated 4 years ago
• DIAGNijmegen / StreamingCNN
  To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory avail…
  ☆101Updated last year
• facebookresearch / semi-supervised-ImageNet1K-models
  Semi-supervised ImageNet1K models
  ☆242Updated 5 years ago
• wielandbrendel / bag-of-local-features-models
  Pretrained bag-of-local-features neural networks
  ☆312Updated 5 years ago
• noahgolmant / pytorch-lars
  "Layer-wise Adaptive Rate Scaling" in PyTorch
  ☆86Updated 4 years ago
• joe-siyuan-qiao / WeightStandardization
  Standardizing weights to accelerate micro-batch training
  ☆547Updated 2 years ago
• csrhddlam / pytorch-checkpoint
  ☆165Updated 6 years ago
• alokwhitewolf / Guided-Attention-Inference-Network
  Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims …
  ☆236Updated 6 years ago
• 9310gaurav / virtual-adversarial-training
  Pytorch implementation of Virtual Adversarial Training
  ☆133Updated 5 years ago
• owruby / shake-shake_pytorch
  PyTorch implementation of shake-shake regularization
  ☆48Updated 4 years ago
• bes-dev / mpl.pytorch
  Pytorch implementation of MaxPoolingLoss.
  ☆175Updated 6 years ago
• moskomule / homura
  homura is a library for fast prototyping DL research
  ☆107Updated 2 years ago
• max-andr / relu_networks_overconfident
  Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]
  ☆182Updated 5 years ago
• facebookresearch / fair_self_supervision_benchmark
  Scaling and Benchmarking Self-Supervised Visual Representation Learning
  ☆585Updated 3 years ago
• gaohuang / SnapshotEnsemble
  Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)
  ☆190Updated 7 years ago
• dyhan0920 / PyramidNet-PyTorch
  A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)
  ☆273Updated 4 years ago
• DingKe / pytorch_workplace
  Random miniprojects with pytorch.
  ☆172Updated 6 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
• ildoonet / unsupervised-data-augmentation
  Unofficial PyTorch Implementation of Unsupervised Data Augmentation.
  ☆146Updated 4 years ago
• ShiyuLiang / odin-pytorch
  Principled Detection of Out-of-Distribution Examples in Neural Networks
  ☆201Updated 7 years ago