Seunghyun Lee

KD_methods_with_TF. Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)

Knowledge_distillation_via_TF2.0. The codes for recent knowledge distillation algorithms and benchmark results via TF2.0 low-level API

SSKD_SVD. Python

Zero-shot_Knowledge_Distillation. Zero-Shot Knowledge Distillation in Deep Networks in ICML2019

GALA_TF2.0. Tensorflow 2.0 implementation of "Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning" in ICCV2019

Lightweighting_Cookbook. This project attempts to build neural network training and lightweighting cookbook including three kinds of lightweighting solutions, i.e., knowledge distillation, filter pruning, and quantization.

Variational_Information_Distillation. Reproducing VID in CVPR2019 (on working)

EKG. Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning

ADNet-tensorflow. Python

TF2-jit-compile-on-multi-gpu. Tensorflow2 training code with jit compiling on multi-GPU.

Google_Colab_tutorial. Google Colab tutorial with simple network training and Tensorboard.

Autoslim_TF2. Implementation of Autoslim using Tensorflow2

MHGD. the presentation materials for Multi-head Graph Distillation ( BMVC2019 oral )

sseung0703.github.io. SCSS

IEPKT. Implementation of "Interpretable embedding procedure knowledge transfer" on AAAI2021

SSKD.

CNN_via_Tensorflow2_low-level. Colvolutional neural network implementation with Tensorflow2.0 low level API only

tensorflow2.0_wo_keras. Python

ACCESS_KD. This project solves a problem of ZSKT in neurips2019

sseung0703.

aingo03304.github.io. Minjae's Blog