OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
-
Updated
Sep 16, 2024 - Python
GeezerVisonThe World Wide Web, restored to 800 pixels of glory. |
| Home|About|Gaming cabinet|Archives|How it works|Starter sites |
GeezerVison is showing github.com — Build software better, together
#
sparse-optimizationHere are 15 public repositories matching this topic...Sort: Most stars
Sort options
OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
training deep-learning pytorch pruning automl model-compression one-shot sparse-optimization erasing-operators
Sparse Convex Optimization Toolkit (SCOT)
Second-order iterated smoothing algorithms for state estimation
state-estimation kalman-filter newtons-method gauss-newton state-space-models recursive-algorithms kalman-smoother batch-optimization trust-region-optimization sparse-optimization rts-smoother
CA-PFL: Client-Adaptive Parameter-Efficient Fine-Tuning for Personalized Federated Learning. Features Variational Bayesian LoRA, RFF-based personalization strategies, and dynamic sparse communication for LLMs.
Improving SpGEMM Performance Through Matrix Reordering and Cluster-wise Computation [SC'25]
parallel-computing parallel-algorithm reordering sparse-matrix sparse-optimization reordering-algorithms
Code for our ICML '24 paper, "Submodular framework for structured-sparse optimal transport".
HIWT-GSC: Homotopy Iterative Weighted Thresholding algorithm for solving Group Sparsity Constrained optimization problems
sparsity optimization optimization-algorithms group-lasso structural-sparsity group-sparsity sparse-optimization iterative-weighted-thresholding
[JMLR] Simplex Constrained Sparse Optimization via Tail Screening
Scientific ML package to discover Differential Algebraic Equations (DAEs) from noisy data using sparse optimization framework.
Solver for minimization problems over the l1-ball
optimization lasso constrained-optimization logistic-regression optimization-methods optimization-algorithms first-order-methods l1-norm sparse-optimization l1-ball active-set-methods
Implementation of Schaeffer et al.'s "Extracting structured dynamical systems using sparse optimization with very few samples".
Alternating Direction Method of Multipliers (ADMM) for Lasso sparse regression and distributed consensus optimization
mcp admm convex-optimization lasso-regression distributed-consensus python-standard-library l1-regularization sparse-optimization agent-skills proximal-gradient multi-agent-optimization
Direct Sparse Odometry
real-time computer-vision robotics structure-from-motion eigen slam bundle-adjustment nonlinear-optimization pose-estimation visual-slam visual-odometry camera-tracking image-alignment pangolin msvc2017 sparse-optimization photometric-optimization direct-sparse-odometry monocular-vision
Sparse non-negative Weibull deconvolution of offshore wind-speed distributions — FISTA and trust-region (TRAIn) solvers, in MATLAB and Python.
python matlab inverse-problems deconvolution fista wind-energy weibull-distribution trust-region merra-2 wind-resource-assessment offshore-wind sparse-optimization
Julia interface to the SNOPT nonlinear optimization solver.
optimization julia constrained-optimization nonlinear-optimization julia-package snopt sparse-optimization
Add this topic to your repoTo associate your repository with the sparse-optimization topic, visit your repo's landing page and select "manage topics." |
| You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required. |