Alternatives and similar repositories for EE236B

Users that are interested in EE236B are comparing it to the libraries listed below

• tengyuma / cs229m_notes
  ☆227Updated 2 years ago
• Wangxh329 / Neural-Networks-and-Deep-Learning
  These are some course homeworks and project of ECE 239AS @ UCLA.
  ☆7Updated 6 years ago
• kamenbliznashki / sutton_barto
  Python implementations of the RL algorithms in examples and figures in Sutton & Barto, Reinforcement Learning: An Introduction
  ☆89Updated 6 years ago
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆717Updated 5 years ago
• Doraemonzzz / CS205A-Mathematical-Methods-for-Robotics--Vision--and-Graphics
  斯坦福数值分析公开课的学习资料
  ☆140Updated 6 years ago
• YuhangZhou88 / ESL_Solution
  ☆275Updated 2 years ago
• Maecenas / ICS-15213-CSAPP3e-CMU
  Build Environment And Lab Assignments of the Introduction to Computer Systems course, CMU 15-213 dated 2015 Fall
  ☆149Updated 5 years ago
• ZJUGuoShuai / MachineLearningLectureNotes
  张志华机器学习导论 MOOC 讲义
  ☆129Updated 3 years ago
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆121Updated 6 years ago
• ee227c / ee227c.github.io
  EE227C (Spring 2018) Course page
  ☆224Updated 4 years ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆160Updated 4 years ago
• yogurt-shadow / Berkeley-cs61b
  Learning experience for CS61B (data structure and algorithm). Study hard and have fun!
  ☆12Updated 3 years ago
• PKUFlyingPig / Standford_CVX101
  Stanford convex optimization course
  ☆87Updated 4 years ago
• tengyuma / stats205_notes
  the public repo for stats205 scribe notes at Stanford University
  ☆13Updated 3 years ago
• berkeleydeeprlcourse / homework_fall2019
  ☆186Updated 3 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆132Updated 9 months ago
• Zhenye-Na / advanced-deep-learning-and-reinforcement-learning-deepmind
  🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉
  ☆155Updated 5 years ago
• brynhayder / reinforcement_learning_an_introduction
  Notes and exercise solutions for second edition of Sutton & Barto's book
  ☆389Updated 2 years ago
• pppppass / ToolsSeminar
  Seminar on Selected Tools
  ☆23Updated 7 years ago
• pyemma / Argo
  A ML playground for education purpose
  ☆31Updated this week
• arowdy98 / Stanford-CS234
  Assignment Solutions to CS234: Reinforcement learning course
  ☆36Updated 6 years ago
• sgalal / cs61a
  sgal's solution for CS 61A, Summer 2019, most of which in one line
  ☆25Updated 5 years ago
• ambujtewari / stats701-winter2021
  Theory of Reinforcement Learning
  ☆16Updated 4 years ago
• Observerspy / CS234
  homework for CS234 2017
  ☆151Updated 7 years ago
• amber-kshz / PRML
  Python implementations (on jupyter notebook) of algorithms described in the book "PRML"
  ☆253Updated 4 years ago
• 2prime / ODE-DL
  Paper List For Linking ODE and Deep Learning
  ☆245Updated 5 years ago
• zlpure / CS234
  My Solution to Assignments of CS234
  ☆94Updated 6 years ago
• JKCooper2 / rlai-exercises
  Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
  ☆107Updated 2 years ago
• Berkeley-CS61B / lectureCode-sp19
  Code created for lecture during spring 19
  ☆179Updated 4 years ago
• sa3305 / rl
  An advanced course on reinforcement learning offered at Columbia University IEOR in Spring 2018
  ☆62Updated 4 years ago