Alternatives and similar repositories for Pytorch-Memory-Utils:

Users that are interested in Pytorch-Memory-Utils are comparing it to the libraries listed below

• Lyken17 / pytorch-memonger
  Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174
  ☆596Updated 5 years ago
• tczhangzhi / pytorch-distributed
  A quickstart and benchmark for pytorch distributed training.
  ☆1,657Updated 7 months ago
• lartpang / PyTorchTricks
  Some tricks of pytorch...
  ☆1,181Updated 9 months ago
• Lyken17 / Efficient-PyTorch
  My best practice of training large dataset using PyTorch.
  ☆1,092Updated 10 months ago
• tanglang96 / DataLoaders_DALI
  PyTorch DataLoaders implemented with DALI for accelerating image preprocessing
  ☆880Updated 4 years ago
• jia-zhuang / pytorch-multi-gpu-training
  整理 pytorch 单机多 GPU 训练方法与原理
  ☆803Updated 3 years ago
• Swall0w / torchstat
  Model analyzer in PyTorch
  ☆1,477Updated 2 years ago
• demuxin / pytorch_tricks
  some tircks for PyTorch
  ☆577Updated 5 years ago
• NVIDIA / runx
  Deep Learning Experiment Management
  ☆640Updated 2 years ago
• HobbitLong / PyContrast
  PyTorch implementation of Contrastive Learning methods
  ☆1,966Updated last year
• sovrasov / flops-counter.pytorch
  Flops counter for convolutional networks in pytorch framework
  ☆2,869Updated 2 months ago
• Separius / awesome-fast-attention
  list of efficient attention modules
  ☆996Updated 3 years ago
• ildoonet / pytorch-gradual-warmup-lr
  Gradually-Warmup Learning Rate Scheduler for PyTorch
  ☆988Updated 5 months ago
• BIGBALLON / distribuuuu
  The pure and clear PyTorch Distributed Training Framework.
  ☆276Updated last year
• Lyken17 / pytorch-OpCounter
  Count the MACs / FLOPs of your PyTorch model.
  ☆4,964Updated 8 months ago
• godweiyang / NN-CUDA-Example
  Several simple examples for popular neural network toolkits calling custom CUDA operators.
  ☆1,417Updated 3 years ago
• HobbitLong / CMC
  [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis
  ☆1,318Updated 4 years ago
• DeepVAC / deepvac
  PyTorch Project Specification.
  ☆678Updated 3 years ago
• lhyfst / knowledge-distillation-papers
  knowledge distillation papers
  ☆752Updated 2 years ago
• weiaicunzai / Bag_of_Tricks_for_Image_Classification_with_Convolutional_Neural_Networks
  experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN a…
  ☆724Updated 6 years ago
• zasdfgbnm / TorchSnooper
  Debug PyTorch code using PySnooper
  ☆799Updated 3 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
• CoinCheung / pytorch-loss
  label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
  ☆2,223Updated 5 months ago
• HobbitLong / RepDistiller
  [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
  ☆2,295Updated last year
• zhijian-liu / torchprofile
  A general and accurate MACs / FLOPs profiler for PyTorch models
  ☆601Updated 10 months ago
• rentainhe / pytorch-distributed-training
  Simple tutorials on Pytorch DDP training
  ☆275Updated 2 years ago
• huawei-noah / AdderNet
  Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
  ☆958Updated 3 years ago
• FLHonker / Awesome-Knowledge-Distillation
  Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
  ☆2,563Updated last year
• facebookresearch / mixup-cifar10
  mixup: Beyond Empirical Risk Minimization
  ☆1,177Updated 3 years ago
• blackfeather-wang / ISDA-for-Deep-Networks
  An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.
  ☆587Updated 3 years ago