skscope: Sparse-Constrained OPtimization via itErative-solvers
python scikit-learn nonlinear-optimization auto-differentiation jax sparsity-optimization non-convex-optimization
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Oct 26, 2024 - Python
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sparsity-optimization
Here are 18 public repositories matching this topic...
Soft Threshold Weight Reparameterization for Learnable Sparsity
sparsity cnn imagenet str icml efficient-inference soft-thresholding edge-machine-learning sparsity-optimization resource-efficient icml-2020 learnable-sparsity icml2020 soft-threshold-reparameterization
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Feb 15, 2023 - Python
Modern Fortran Numerical Differentiation Library
optimization numerical-methods finite-differences differentiation graph-coloring numerical-differentiation sparsity-optimization
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Mar 31, 2025 - Fortran
model compression and optimization for deployment for Pytorch, including knowledge distillation, quantization and pruning.(知识蒸馏，量化，剪枝)
sparsity pytorch pruning quantization nas knowledge-distillation model-compression sparsity-optimization quantized-networks
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Sep 10, 2024 - Python
MATLAB implementation of sparsity-assisted signal denoising and pattern recognition in time-series data
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Jun 11, 2021 - MATLAB
Minimal Reproducibility Study of (https://arxiv.org/abs/1911.05248). Experiments with Compression of Deep Neural Networks
deep-neural-networks sparsity deep-learning neural-network tensorflow pruning deeplearning celeba celeba-dataset tensorflow-lite tflite sparsity-optimization model-optimization neural-network-pruning tracker-misc
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Jun 4, 2021 - Python
NeurIPS 2019 MicroNet Challenge
sparsity neural-network pytorch quantization entropy-coding neural-architecture-search efficient-inference sparsity-optimization quantization-algorithms efficient-neural-networks micronet-challenge compound-scaling ec2t
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Dec 8, 2022 - Python
Finding Storage- and Compute-Efficient Convolutional Neural Networks
sparsity neural-network pytorch quantization entropy-coding neural-architecture-search efficient-inference sparsity-optimization quantization-algorithms efficient-neural-networks micronet-challenge compound-scaling ec2t
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Dec 8, 2022 - Python
This is the repository for reproducing results in "APRILE: Exploring the Molecular Mechanisms of Drug Side Effects with Explainable Graph Neural Networks".
gene-ontology side-effects explainable-ai sparsity-optimization drug-target-interactions gnn gene-gene
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Dec 2, 2022 - Python
Authors' implementation for "Designing Constrained Projections for Compressed Sensing: Mean Errors and Anomalies with Coherence", IEEE GlobalSIP 2018
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Sep 25, 2018 - MATLAB
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 individual practitioners with limited financial resources.
natural-language-processing computer-vision image-captioning pruning green-computing ms-coco sparsity-optimization deep-compression lottery-ticket-hypothesis
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Aug 29, 2023 - Python
Code Repository for "Orthogonally Weighted Regularization for Rank-Aware Joint Sparse Recovery: Algorithm and Analysis" Authors: A. Petrosyan, K. Pieper, H. Tran
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Nov 26, 2023 - Python
Implementation of the Component Fusion algorithm for the optimal repair of pruned/fragmented neural networks.
deep-learning fault-tolerance reproducible-research neural-networks graph-theory network-pruning sparsity-optimization green-ai network-repair
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Oct 24, 2025 - Jupyter Notebook
Sparse optimal control of the Viscous Cahn-Hilliard equation using Proximal Gradient Descent. Solved with Crank-Nicolson semi-implicit time integration.
backward scientific-computing partial-differential-equations gradient-descent pde-solver sparsity-optimization adaptive-gradient-descent proximal-gradient-method crank-nicolson-method optimal-control-problem semi-implicit viscous-cahn-hilliard logarithmic-potential
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Nov 30, 2025 - Python
Detection of single sources solving a deconvolution problem
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Nov 13, 2025 - MATLAB
Reproducible materials for "[JMLR] skscope: Fast Sparsity-Constrained Optimization in Python"
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May 25, 2025 - C++
Light Implementation on Model Compression - BME590-02-Final Project
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Dec 11, 2019 - Jupyter Notebook
Presentations I have prepared for different courses and lab seminar throughout my PhD
data-science machine-learning deep-learning neuroimaging graphical-models kernel-methods functional-data-analysis sparsity-optimization
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Jul 23, 2020
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