FLHonker / Awesome-Knowledge-DistillationLinks
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
☆2,624Updated 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.☆1,715Updated 3 years ago
- Awesome Knowledge Distillation☆3,730Updated 2 months ago
- A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility☆1,963Updated 2 years ago
- knowledge distillation papers☆758Updated 2 years ago
- [ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods☆2,367Updated last year
- A curated list of neural network pruning resources.☆2,471Updated last year
- A quickstart and benchmark for pytorch distributed training.☆1,668Updated last year
- label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful☆2,249Updated 10 months ago
- The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distill…☆867Updated last year
- A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods p…☆1,546Updated this week
- A curated list of resources for Learning with Noisy Labels☆2,702Updated 4 months ago
- Some tricks of pytorch...☆1,194Updated last year
- PyTorch implementation of Contrastive Learning methods☆1,987Updated last year
- Model analyzer in PyTorch☆1,490Updated 2 years ago
- Flops counter for neural networks in pytorch framework☆2,932Updated 2 weeks ago
- My best practice of training large dataset using PyTorch.☆1,101Updated last year
- Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization☆584Updated 2 years ago
- Count the MACs / FLOPs of your PyTorch model.☆5,041Updated last year
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,514Updated 5 years ago
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,305Updated 2 years ago
- Collection of recent methods on (deep) neural network compression and acceleration.☆949Updated 4 months ago
- mixup: Beyond Empirical Risk Minimization☆1,189Updated 3 years ago
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,849Updated last year
- experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN a…☆733Updated 6 years ago
- A PyTorch-based library for semi-supervised learning (NeurIPS'21)☆1,361Updated 2 years ago
- Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.☆1,307Updated last year
- Awesome Incremental Learning☆4,194Updated 3 weeks ago
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆974Updated 3 years ago
- Classification with PyTorch.☆1,738Updated last year
- A comprehensive list of awesome contrastive self-supervised learning papers.☆1,286Updated 11 months ago