FLHonker / Awesome-Knowledge-DistillationLinks
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
☆2,631Updated 2 years 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
Sorting:
- Pytorch implementation of various Knowledge Distillation (KD) methods.☆1,721Updated 3 years ago
- A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility☆1,968Updated 2 years ago
- Awesome Knowledge Distillation☆3,751Updated 4 months ago
- [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods☆2,386Updated 2 years ago
- knowledge distillation papers☆762Updated 2 years ago
- A curated list of neural network pruning resources.☆2,478Updated last year
- The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distill…☆874Updated last year
- A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods p…☆1,562Updated last week
- A quickstart and benchmark for pytorch distributed training.☆1,664Updated last year
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,250Updated last year
- PyTorch implementation of Contrastive Learning methods☆1,994Updated 2 years ago
- Some tricks of pytorch...☆1,194Updated last year
- A curated list of resources for Learning with Noisy Labels☆2,714Updated 5 months ago
- Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization☆584Updated 2 years ago
- Flops counter for neural networks in pytorch framework☆2,950Updated 2 months ago
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,846Updated last year
- PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722☆5,082Updated 3 weeks ago
- Count the MACs / FLOPs of your PyTorch model.☆5,048Updated last year
- list of efficient attention modules☆1,016Updated 4 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆952Updated 6 months ago
- OpenMMLab Model Compression Toolbox and Benchmark.☆1,634Updated last year
- experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN a…☆737Updated 6 years ago
- Model analyzer in PyTorch☆1,498Updated 2 years ago
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,362Updated 2 years ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆976Updated 4 years ago
- FSL-Mate: A collection of resources for few-shot learning (FSL).☆1,755Updated last week
- mixup: Beyond Empirical Risk Minimization☆1,192Updated 4 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,515Updated 5 years ago
- Efficient computing methods developed by Huawei Noah's Ark Lab☆1,296Updated 11 months ago
- Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.☆1,318Updated last year