Alternatives and similar repositories for pytorch_gpu_memory:

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

• thuml / Self-Tuning
  Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)
  ☆110Updated 3 years ago
• Sophia-11 / AI-Conference
  The most complete list of AI top meetings
  ☆87Updated 5 years ago
• liming-ai / OpenLT
  An open-source project for long-tail classification
  ☆39Updated 3 years ago
• choosewhatulike / sparse-sharing
  Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"
  ☆92Updated 4 years ago
• Sophia-11 / Awesome-NeurIPS2019-NIPS2019
  人工智能和机器学习领域的国际顶级会议NeurIPS论文收集
  ☆100Updated 5 years ago
• a1600012888 / clsa_pytorch
  Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code
  ☆32Updated 4 years ago
• zhjohnchan / circleloss.pytorch
  Examples of playing with Circle Loss from the paper "Circle Loss: A Unified Perspective of Pair Similarity Optimization", CVPR 2020.
  ☆53Updated 4 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆118Updated last year
• OIdiotLin / torchtracer
  A python package for visualization and storage management in a pytorch AI task.
  ☆54Updated 10 months ago
• wutong16 / DistributionBalancedLoss
  [ ECCV 2020 Spotlight ] Pytorch implementation for "Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets"
  ☆364Updated 2 years ago
• lorenmt / maxl
  The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].
  ☆173Updated 3 years ago
• Lan1991Xu / ONE_NeurIPS2018
  ☆60Updated 4 years ago
• likesiwell / LGM-Net
  Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
  ☆84Updated 4 years ago
• DHPO / GHM_Loss.pytorch
  ☆38Updated 6 years ago
• xingruiyu / coteaching_plus
  ICML'19 How does Disagreement Help Generalization against Label Corruption?
  ☆84Updated 5 years ago
• HeyLynne / FocalLoss_for_multiclass
  Focal loss for multiple class classification
  ☆81Updated 4 years ago
• ekingedik / loupe-pytorch
  Learnable mOdUle for Pooling fEatures(LOUPE) implementation in pytorch and it's example use
  ☆17Updated 3 years ago
• vfdev-5 / UDA-pytorch
  Unsupervised Data Augmentation experiments in PyTorch
  ☆59Updated 5 years ago
• LiJunnan1992 / MLNT
  Meta-Learning based Noise-Tolerant Training
  ☆123Updated 4 years ago
• peisuke / UnsupervisedDataAugmentation.pytorch
  ☆14Updated 5 years ago
• vithursant / SPL-ADVisE
  PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"
  ☆21Updated 5 years ago
• PaulAlbert31 / LabelNoiseCorrection
  Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction
  ☆222Updated 4 years ago
• yxgeee / BAKE
  Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification
  ☆81Updated 3 years ago
• Flowerfan / Open-Reid
  Self-Paced Multi-view Co-training for person re-id experiment
  ☆30Updated 3 years ago
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆90Updated 4 years ago
• Link-Li / Balanced-DataParallel
  这里是改进了pytorch的DataParallel, 用来平衡第一个GPU的显存使用量
  ☆232Updated 4 years ago
• bojone / infomax
  extract features by maximizing mutual information
  ☆149Updated 5 years ago
• ildoonet / unsupervised-data-augmentation
  Unofficial PyTorch Implementation of Unsupervised Data Augmentation.
  ☆146Updated 4 years ago
• libuyu / GHM_Detection
  The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.
  ☆620Updated 5 years ago
• AlanChou / Truncated-Loss
  PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018
  ☆126Updated 5 years ago