dkozlov / awesome-knowledge-distillation
Awesome Knowledge Distillation
☆3,527Updated 3 weeks ago
Alternatives and similar repositories for awesome-knowledge-distillation:
Users that are interested in awesome-knowledge-distillation are comparing it to the libraries listed below
- A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility☆1,887Updated last year
- Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。☆2,539Updated last year
- Pytorch implementation of various Knowledge Distillation (KD) methods.☆1,644Updated 3 years ago
- [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods☆2,239Updated last year
- knowledge distillation papers☆743Updated last year
- Classification with PyTorch.☆1,706Updated 7 months ago
- Improving Convolutional Networks via Attention Transfer (ICLR 2017)☆1,450Updated 6 years ago
- Flops counter for convolutional networks in pytorch framework☆2,848Updated 3 months ago
- Count the MACs / FLOPs of your PyTorch model.☆4,940Updated 6 months ago
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,364Updated last year
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,207Updated 3 months ago
- A curated list of neural network pruning resources.☆2,389Updated 9 months ago
- Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeN…☆2,641Updated 2 years ago
- Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow☆1,474Updated last year
- A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆25 knowledge distillation methods p…☆1,423Updated this week
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,511Updated 4 years ago
- A curated list of awesome self-supervised methods☆6,205Updated 6 months ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,026Updated 10 months ago
- Codebase for Image Classification Research, written in PyTorch.☆2,143Updated 9 months ago
- Model analyzer in PyTorch☆1,471Updated last year
- A CV toolkit for my papers.☆2,047Updated 3 weeks ago
- PyTorch implementation of Contrastive Learning methods☆1,952Updated last year
- A curated list of resources for Learning with Noisy Labels☆2,648Updated 8 months ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,282Updated last week
- ResNeSt: Split-Attention Networks☆3,248Updated 2 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆9,053Updated 2 years ago
- mixup: Beyond Empirical Risk Minimization☆1,170Updated 3 years ago
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,898Updated this week
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,262Updated 2 years ago
- A quickstart and benchmark for pytorch distributed training.☆1,650Updated 5 months ago