sparsity-optimization

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

Detection of single sources solving a deconvolution problem

Reproducible materials for "[JMLR] 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