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A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Pytorch implementation of various Knowledge Distillation (KD) methods.

A PyTorch-based knowledge distillation toolkit for natural language processing

A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuri... Read more

A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDNet, LinkNet, PP-LiteSeg, SegNet, ShelfNet, STDC, SwiftNet, and support knowledge distillation, distr... Read more

Knowledge distillation in text classification with pytorch. 知识蒸馏，中文文本分类，教师模型BERT、XLNET，学生模型biLSTM。

An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.

pytorch implementation for Patient Knowledge Distillation for BERT Model Compression