Alternatives and similar repositories for CVX101-HW-with-python

Users that are interested in CVX101-HW-with-python are comparing it to the libraries listed below

• cvxgrp / cvx_short_course
  Materials for a short course on convex optimization.
  ☆348Updated 3 months ago
• sailinglab / pgm-spring-2019
  Course webpage for PGM, Spring 2019.
  ☆76Updated 4 years ago
• allenjywang / Reinforcement_Learning_Notes
  A naive version.
  ☆19Updated 3 years ago
• coverdrive / MDP-DP-RL
  Markov Decision Processes, Dynamic Programming and Reinforcement Learning
  ☆292Updated 4 years ago
• lx10077 / Lasso
  Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic …
  ☆47Updated 6 years ago
• MorvanZhou / Meta-Learning
  ☆36Updated 5 years ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆162Updated 4 years ago
• cvxgrp / cvxbook_additional_exercises
  Additional exercises and data for EE364a. No solutions; for public consumption.
  ☆757Updated 3 months ago
• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆54Updated 4 years ago
• YuhangZhou88 / ESL_Solution
  ☆278Updated 2 years ago
• Fengyuan-Shi / ADP_course_given_by_BERTSEKAS_2014_THU
  Video and other material of ADP course given by BERTSEKAS at THU, 2014
  ☆55Updated 6 years ago
• MOSEK / Tutorials
  A collection of tutorials for the MOSEK package
  ☆118Updated last week
• ShiqinHuo / Numerical-Optimization-Books
  Collected study materials in Numerical Optimization ANU@MATH3514(HPC)
  ☆363Updated 6 years ago
• Zhenye-Na / reinforcement-learning-stanford
  🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉
  ☆309Updated 2 years ago
• StanfordASL / AA203-Notes
  Course notes for AA203
  ☆150Updated 5 years ago
• erfanMhi / Deep-Reinforcement-Learning-CS285-Pytorch
  Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…
  ☆141Updated 2 years ago
• LynnHo / Matrix-Calculus-Tutorial
  Matrix Calculus via Differentials, Matrix Derivative, 矩阵求导教程
  ☆286Updated 2 years ago
• bhushan23 / ADMM
  Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression
  ☆157Updated 3 years ago
• locuslab / DC3
  DC3: A Learning Method for Optimization with Hard Constraints
  ☆163Updated 4 years ago
• portfoliooptimizationbook / .github
  Portfolio Optimization Book
  ☆12Updated 9 months ago
• mdeib / berkeley-deep-RL-pytorch-solutions
  Pytorch solutions for UC Berkeley's cs285 assignments
  ☆140Updated 3 years ago
• talwarabhimanyu / my-solutions-The-Elements-of-Statistical-Learning
  My solutions to problems of The Elements of Statistical Learning by Profs. Hastie, Tibshirani, and Friedman.
  ☆90Updated 6 years ago
• Yusufma03 / pfrnns
  Particle Filter Recurrent Neural Networks (AAAI 2020)
  ☆79Updated last year
• jiupinjia / Visualize-Optimization-Algorithms
  Visualization of numerical optimization algorithms
  ☆92Updated 4 years ago
• liber145 / rlpack
  A pack of reinforcement learning algorithms.
  ☆84Updated 3 years ago
• bentrevett / pytorch-rl
  Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
  ☆285Updated 4 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆137Updated last year
• NicolasDurrande / Gaussian-Process-Regression-handout
  ☆40Updated 8 years ago
• yousuketakada / prml_errata
  More PRML Errata
  ☆80Updated 2 years ago
• KellyHwong / convex-hkust
  香港科技大学 凸优化
  ☆44Updated 5 years ago