Alternatives and similar repositories for cvxbook_additional_exercises

Users that are interested in cvxbook_additional_exercises are comparing it to the libraries listed below

• ShiqinHuo / Numerical-Optimization-Books
  Collected study materials in Numerical Optimization ANU@MATH3514(HPC)
  ☆350Updated 6 years ago
• algorithmsbooks / algforopt-notebooks
  Jupyter notebooks associated with the Algorithms for Optimization textbook
  ☆461Updated 3 years ago
• cvxgrp / cvx_short_course
  Materials for a short course on convex optimization.
  ☆343Updated last month
• epfml / OptML_course
  EPFL Course - Optimization for Machine Learning - CS-439
  ☆1,285Updated 3 weeks ago
• cvxr / CVX
  A MATLAB system for disciplined convex programming
  ☆300Updated last year
• ebrahimpichka / awesome-optimization
  A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
  ☆450Updated 6 months ago
• abrazinskas / convex-optimization
  A convex optimization course https://see.stanford.edu/Course/EE364A completed homework assignments
  ☆54Updated 3 years ago
• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆109Updated last year
• tengyuma / cs229m_notes
  ☆229Updated 2 years ago
• yjavaherian / deepmind-x-ucl-rl
  lecture slides for Deepmind x UCL 2021 reinforcement learning course available in YouTbue
  ☆50Updated last year
• mitmath / 18065
  18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
  ☆166Updated 7 months ago
• sqlp / sedumi
  SeDuMi: A linear/quadratic/semidefinite solver for Matlab and Octave
  ☆249Updated last year
• dynamicslab / databook_matlab
  Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems…
  ☆294Updated last year
• vojtamolda / reinforcement-learning-an-introduction
  Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).
  ☆376Updated last year
• wsshin / jemdoc_mathjax
  jemdoc with MathJax support and more
  ☆242Updated 11 months ago
• mitmath / matrixcalc
  MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
  ☆502Updated 4 months ago
• Operations-Research-Science / Ebook-An_introduction_to_robust_optimization
  ☆412Updated 2 years ago
• enjeeneer / sutton_and_barto
  Notes and solutions to exercises in Sutton and Barto's Reinforcement Learning textbook
  ☆44Updated last year
• yalmip / YALMIP
  MATLAB toolbox for optimization modeling
  ☆519Updated this week
• NoamGit / CVX101-HW-with-python
  Home work in python using cvxpy to Stephen Boyd's Convex Optimization class (CVX101 Stanford)
  ☆45Updated 2 years ago
• PacktPublishing / Deep-Reinforcement-Learning-Hands-On-Third-Edition
  Deep Reinforcement Learning Hands-On, 3E_Published by Packt
  ☆244Updated last month
• A-make / awesome-control-theory
  Awesome resources for learning control theory
  ☆632Updated last month
• NicolasBoumal / manopt
  Manopt, a Matlab toolbox for optimization on manifolds
  ☆349Updated 2 months ago
• mitmath / 18330
  18.330 Introduction to Numerical Analysis
  ☆371Updated last year
• sqlp / sdpt3
  SDPT3: MATLAB/Octave software for semidefinite-quadratic-linear programming
  ☆110Updated last year
• SupermanCaozh / The_Coding_Foundation_in_Reinforcement_Learning
  The mirror of RL_Coding_Exercise.
  ☆85Updated 9 months ago
• JimVaranelli / ActiveSet
  An active set method for sequential quadratic programming
  ☆18Updated 5 years ago
• luxiaodong / Book
  ☆309Updated 7 years ago
• berkeleydeeprlcourse / homework_fall2022
  Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
  ☆124Updated last year
• dynamicslab / databook_python
  IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Sy…
  ☆903Updated last year