AberHu / Knowledge-Distillation-ZooLinks
Pytorch implementation of various Knowledge Distillation (KD) methods.
☆1,725Updated 3 years ago
Alternatives and similar repositories for Knowledge-Distillation-Zoo
Users that are interested in Knowledge-Distillation-Zoo are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility☆1,969Updated 2 years ago
- Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。☆2,633Updated 2 years ago
- [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods☆2,388Updated 2 years ago
- knowledge distillation papers☆762Updated 2 years ago
- Awesome Knowledge Distillation☆3,759Updated last week
- A curated list of neural network pruning resources.☆2,479Updated last year
- The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distill…☆877Updated last year
- A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods p…☆1,567Updated this week
- Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization☆584Updated 2 years ago
- A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quan…☆646Updated 2 years ago
- Flops counter for neural networks in pytorch framework☆2,951Updated 2 months ago
- Efficient computing methods developed by Huawei Noah's Ark Lab☆1,297Updated 11 months ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆976Updated 4 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆951Updated 7 months ago
- OpenMMLab Model Compression Toolbox and Benchmark.☆1,636Updated last year
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,516Updated 5 years ago
- mixup: Beyond Empirical Risk Minimization☆1,192Updated 4 years ago
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,252Updated last year
- Network Slimming (Pytorch) (ICCV 2017)☆915Updated 4 years ago
- A quickstart and benchmark for pytorch distributed training.☆1,664Updated last year
- [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment☆1,936Updated last year
- My best practice of training large dataset using PyTorch.☆1,107Updated last year
- Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)☆418Updated 5 years ago
- experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN a…☆738Updated 6 years ago
- Automated deep learning algorithms implemented in PyTorch.☆1,581Updated 3 years ago
- Model analyzer in PyTorch☆1,498Updated 2 years ago
- Codebase for Image Classification Research, written in PyTorch.☆2,165Updated last year
- Count the MACs / FLOPs of your PyTorch model.☆5,049Updated last year
- Gradually-Warmup Learning Rate Scheduler for PyTorch☆991Updated last year
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆833Updated 3 years ago