Hulalazz / A-_Guide_-to_Data_Sciecne_from_mathematics Star 56 Code Issues Pull requests It is a blueprint to data science from the mathematics to algorithms. It is not completed. data-science machine-learning deep-learning statistical-learning admm recommender-systems numerical-optimization computational-intelligence gcn model-compression learning2rank fixed-point-iteration inverse-bayesian-fomula anderson-acceleration hodgerank Updated Jan 19, 2024 HTML
hehuannb / GDA-AM Star 7 Code Issues Pull requests GDA-AM solves a wide range of minimax problems machine-learning optimization minimax anderson bilinear anderson-acceleration Updated Jun 2, 2022 Jupyter Notebook
joshnguyen99 / anderson_acceleration Star 2 Code Issues Pull requests Implementation of the (regularized) Anderson acceleration (aka Approximate Maximum Polynomial Extrapolation—AMPE) optimization anderson-acceleration Updated Apr 13, 2022 Jupyter Notebook
Data-driven-numerical-methods / Nonlinear-Truncated-Conjugate-Residual Star 1 Code Issues Pull requests Nonlinear Truncated Conjugate Residual deep-learning optimization conjugate-gradient anderson-acceleration nonlinear-acceleration conjugate-residual Updated May 1, 2024 Jupyter Notebook
vienmai / pomodoro Star 0 Code Issues Pull requests Pomodoro: Progressive Decomposition Methods with Acceleration mpi header-only admm optimization-algorithms distributed-optimization proximal-gradient-descent anderson-acceleration bfgs-algorithm Updated Dec 12, 2021 C