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PyTorch implementation of medical semantic segmentations models, e.g. UNet, UNet++, DUCKNet, ResUNet, ResUNet++, and support knowledge distillation, distributed training, Optuna etc.

Official PyTorch implementation of "Lightweight Deep CNN for Natural Image Matting via Similarity-Preserving Knowledge Distillation" (IEEE Signal Processing Letters 2020)

This repo provides PyTorch implementation of the paper One-Class Knowledge Distillation for Face Presentation Attack Detection to appear on IEEE Transactions on Information Forensics & Security (TIFS).

基于Pytorch的知识蒸馏（中文文本分类）

Official Pytorch Implementation of BPKD : Boundary Privileged Knowledge Distillation For Semantic Segmentation

Pytorch implementation of various Knowledge Distillation (KD) methods.

Code (pytorch) for 'Model Adaptation through Hypothesis Transfer with Gradual Knowledge Distillation' that has been accepted by IROS2021.

Pytorch reproduction of Peer Collaborative Learning for Online Knowledge Distillation, AAAI2021

model compression and optimization for deployment for Pytorch, including knowledge distillation, quantization and pruning.(知识蒸馏，量化，剪枝)

[WSDM 2023] This is the official PyTorch implementation for the paper: "Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation"