skscope: Sparse-Constrained OPtimization via itErative-solvers
Soft Threshold Weight Reparameterization for Learnable Sparsity
Modern Fortran Numerical Differentiation Library
model compression and optimization for deployment for Pytorch, including knowledge distillation, quantization and pruning.(知识蒸馏,量化,剪枝)
MATLAB implementation of sparsity-assisted signal denoising and pattern recognition in time-series data
#计算机科学#Minimal Reproducibility Study of (https://arxiv.org/abs/1911.05248). Experiments with Compression of Deep Neural Networks
Finding Storage- and Compute-Efficient Convolutional Neural Networks
NeurIPS 2019 MicroNet Challenge
This is the repository for reproducing results in "APRILE: Exploring the Molecular Mechanisms of Drug Side Effects with Explainable Graph Neural Networks".
#自然语言处理#Compact Image Captioning (CoCA) is an open source image captioning project to promote Green Computer Vision, as well as to make image captioning research accessible to universities, research labs and ...
Authors' implementation for "Designing Constrained Projections for Compressed Sensing: Mean Errors and Anomalies with Coherence", IEEE GlobalSIP 2018
Code Repository for "Orthogonally Weighted Regularization for Rank-Aware Joint Sparse Recovery: Algorithm and Analysis" Authors: A. Petrosyan, K. Pieper, H. Tran
Reproducible materials for "skscope: Fast Sparsity-Constrained Optimization in Python"
Light Implementation on Model Compression - BME590-02-Final Project
#计算机科学#Presentations I have prepared for different courses and lab seminar throughout my PhD
Detection of single sources solving a deconvolution problem