dkozlov / awesome-knowledge-distillation
Awesome Knowledge Distillation
☆3,645Updated last month
Alternatives and similar repositories for awesome-knowledge-distillation:
Users that are interested in awesome-knowledge-distillation are comparing it to the libraries listed below
- Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。☆2,571Updated last year
- A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility☆1,928Updated 2 years ago
- Pytorch implementation of various Knowledge Distillation (KD) methods.☆1,680Updated 3 years ago
- knowledge distillation papers☆753Updated 2 years ago
- [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods☆2,310Updated last year
- A curated list of neural network pruning resources.☆2,435Updated last year
- Count the MACs / FLOPs of your PyTorch model.☆4,977Updated 9 months ago
- A curated list of resources for Learning with Noisy Labels☆2,677Updated 11 months ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆945Updated last week
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,388Updated last year
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,278Updated 2 years ago
- Model analyzer in PyTorch☆1,482Updated 2 years ago
- Improving Convolutional Networks via Attention Transfer (ICLR 2017)☆1,454Updated 6 years ago
- PyTorch implementation of Contrastive Learning methods☆1,971Updated last year
- Flops counter for neural networks in pytorch framework☆2,880Updated 2 months ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,515Updated 4 years ago
- Classification with PyTorch.☆1,726Updated 10 months ago
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,905Updated last year
- Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning☆2,629Updated 6 years ago
- Awesome Incremental Learning☆4,026Updated this week
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,037Updated last year
- A state-of-the-art semi-supervised method for image recognition☆1,615Updated 4 years ago
- A collection of AWESOME things about domian adaptation☆5,257Updated 6 months ago
- ☆668Updated 3 years ago
- mixup: Beyond Empirical Risk Minimization☆1,177Updated 3 years ago
- list of efficient attention modules☆999Updated 3 years ago
- A quickstart and benchmark for pytorch distributed training.☆1,658Updated 8 months ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆9,072Updated 2 years ago
- My best practice of training large dataset using PyTorch.☆1,096Updated 11 months ago
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆4,950Updated 3 months ago