cvxgrp / cvxbook_additional_exercisesLinks
Additional exercises and data for EE364a. No solutions; for public consumption.
☆787Updated 4 months ago
Alternatives and similar repositories for cvxbook_additional_exercises
Users that are interested in cvxbook_additional_exercises are comparing it to the libraries listed below
Sorting:
- Stanford convex optimization course☆102Updated 4 years ago
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆297Updated 3 years ago
- Collected study materials in Numerical Optimization ANU@MATH3514(HPC)☆366Updated 6 years ago
- EPFL Course - Optimization for Machine Learning - CS-439☆1,351Updated 3 months ago
- A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.☆528Updated 10 months ago
- lecture slides for Deepmind x UCL 2021 reinforcement learning course available in YouTbue☆71Updated last year
- MIT IAP short course: Matrix Calculus for Machine Learning and Beyond☆539Updated 8 months ago
- Solutions to Linear Algebra Done Right, by Sheldon Axler.☆366Updated 5 months ago
- Own solutions for exercises and MATLAB example codes for "Numerical Linear Algebra" by Lloyd N. Trefethen and David Bau III, 1997☆92Updated last year
- Jupyter notebooks associated with the Algorithms for Optimization textbook☆475Updated 3 years ago
- Exercise Solutions for All of Statistics (Larry Wasserman)☆110Updated 3 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆187Updated 2 years ago
- Solutions to All of Statistics, a textbook authored by Larry Wasserman. I wrote the solutions as a self-studying method, thus I cannot gu…☆22Updated 3 years ago
- A MATLAB system for disciplined convex programming☆326Updated last year
- Stanford CS234 : Reinforcement Learning☆165Updated 6 years ago
- Propositions of solutions to the exercises from Terence Tao's textbooks, Analysis I & II. Mirrored from https://gitlab.com/f-santos/taoan…☆97Updated 2 years ago
- A convex optimization course https://see.stanford.edu/Course/EE364A completed homework assignments☆58Updated 3 years ago
- Manopt, a Matlab toolbox for optimization on manifolds☆362Updated 3 weeks ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆127Updated last year
- ☆236Updated 2 years ago
- jemdoc with MathJax support and more☆256Updated last year
- Lecture Slides, Notes and Problem Set Answers to the Game Theory course on Coursera by Stanford University and The University of British …☆75Updated 5 years ago
- Solutions to Sutton and Barto book exercises☆108Updated last year
- Reinforcement Learning Short Course☆78Updated 2 months ago
- Home work in python using cvxpy to Stephen Boyd's Convex Optimization class (CVX101 Stanford)☆45Updated 2 years ago
- Solutions to exercises in Reinforcement Learning: An Introduction (2nd Edition).☆390Updated 2 years ago
- Graduate course on Machine Learning☆125Updated 5 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆143Updated last year
- ☆45Updated 2 weeks ago
- 涉及机器学习中深度学习、强化学习、监督学习、集成学习相关的pdf书籍及其个人的阅读笔记☆167Updated 6 years ago