moskomule / distillation.pytorch
Implementation of several knowledge distillation techniques on PyTorch
☆15Updated 6 years ago
Alternatives and similar repositories for distillation.pytorch
Users that are interested in distillation.pytorch are comparing it to the libraries listed below
Sorting:
- Zero-Shot Knowledge Distillation in Deep Networks in ICML2019☆49Updated 5 years ago
- Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch☆62Updated 4 years ago
- ☆50Updated 5 years ago
- an implementation of mixup☆41Updated 4 years ago
- A PyTorch implementation for Unsupervised Data Augmentation☆23Updated 2 years ago
- Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)☆76Updated 6 years ago
- Official repository for Big-Little Net☆58Updated 5 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆53Updated 4 years ago
- (WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer☆22Updated 3 years ago
- Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)☆71Updated 5 years ago
- Cheap distillation for convolutional neural networks.☆33Updated 6 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 2 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago
- Official Implementation of MEAL: Multi-Model Ensemble via Adversarial Learning on AAAI 2019☆177Updated 5 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆52Updated 3 years ago
- PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"☆37Updated 2 years ago
- Class Activation Map(CAM) with Pytorch☆66Updated 5 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated last year
- ☆15Updated 3 years ago
- Classification with PyTorch.☆24Updated 5 years ago
- Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory☆47Updated 6 years ago
- A Pytorch implementation of Fast AutoAugment and EfficientNet☆119Updated 5 years ago
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks https://arxiv.org/abs/1901.09229☆66Updated 4 years ago
- homura is a library for fast prototyping DL research☆107Updated 2 years ago
- Zero-Shot Knowledge Distillation in Deep Networks☆65Updated 3 years ago
- Implementation of the Heterogeneous Knowledge Distillation using Information Flow Modeling method☆24Updated 4 years ago
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆104Updated 5 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 4 years ago
- Unofficial PyTorch Reimplementation of AutoAugment and RandAugment.☆36Updated 3 years ago
- Differentiable Data Augmentation Library☆123Updated 2 years ago