Huan Wang
Huan Wang
Efficient-Deep-Learning
Collection of recent methods on (deep) neural network compression and acceleration.
Collaborative-Distillation
[CVPR'20] Collaborative Distillation for Ultra-Resolution Universal Style Transfer (PyTorch)
ASSL
[NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)
Awesome-Pruning-at-Initialization
[IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.
Smile-Pruning
A generic code base for neural network pruning, especially for pruning at initialization.
Regularization-Pruning
[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
smilelogging
Python logging package for easy reproducible experimenting in research
SRP
[ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"
Awesome-Efficient-ViT
Recent Advances on Efficient Vision Transformers
Why-the-State-of-Pruning-so-Confusing
[Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning