karanchahal / distiller
A large scale study of Knowledge Distillation.
☆217Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for distiller
- Using Teacher Assistants to Improve Knowledge Distillation: https://arxiv.org/pdf/1902.03393.pdf☆258Updated 5 years ago
- Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)☆266Updated 5 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 4 years ago
- Implementations of ideas from recent papers☆391Updated 3 years ago
- Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization☆580Updated last year
- Unofficial PyTorch Implementation of Unsupervised Data Augmentation.☆147Updated 4 years ago
- Example code showing how to use Nvidia DALI in pytorch, with fallback to torchvision. Contains a few differences to the official Nvidia …☆194Updated 4 years ago
- ☆180Updated last year
- Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)☆104Updated 5 years ago
- A specially designed light version of Fast AutoAugment☆171Updated 4 years ago
- Code for reproducing Manifold Mixup results (ICML 2019)☆484Updated 7 months ago
- 🛠 Toolbox to extend PyTorch functionalities☆417Updated 6 months ago
- Implementation of the mixup training method☆465Updated 6 years ago
- Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019☆395Updated 3 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆185Updated 5 years ago
- A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quan…☆608Updated last year
- Pruning Neural Networks with Taylor criterion in Pytorch☆314Updated 5 years ago
- lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch☆334Updated 5 years ago
- Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks☆321Updated last year
- Papers for deep neural network compression and acceleration☆396Updated 3 years ago
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆252Updated 6 years ago
- PyTorch Model Compression☆229Updated last year
- Code for paper "Learning to Reweight Examples for Robust Deep Learning"☆269Updated 5 years ago
- Sparse learning library and sparse momentum resources.☆379Updated 2 years ago
- A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."☆309Updated 4 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆317Updated last year
- Implementation and experiments for AdamW on Pytorch☆93Updated 5 years ago
- Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)☆414Updated 4 years ago
- PyTorch layer-by-layer model profiler☆607Updated 3 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆268Updated 6 years ago