Alternatives and similar repositories for 18.065_lecture_notes

Users that are interested in 18.065_lecture_notes are comparing it to the libraries listed below

• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆122Updated 7 years ago
• ZJUGuoShuai / MachineLearningLectureNotes
  张志华机器学习导论 MOOC 讲义
  ☆129Updated 3 years ago
• econti / cs229
  Stanford CS229 (Autumn 2017)
  ☆373Updated 8 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
  ☆146Updated 6 years ago
• LynnHo / Matrix-Calculus-Tutorial
  Matrix Calculus via Differentials, Matrix Derivative, 矩阵求导教程
  ☆292Updated 2 years ago
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆164Updated 4 years ago
• soloice / Matrix_Derivatives
  This is a note on matrix derivatives and described my own experience in detail. Hope you'll like it.
  ☆562Updated 6 years ago
• israfelsr / CS231n
  CS231n Assignments Solutions - Spring 2020
  ☆48Updated 4 years ago
• jingwenh / Computer-Vision-CMU-16720B
  ☆30Updated 7 years ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆157Updated last year
• learning511 / cs229-assignments
  ☆195Updated 7 years ago
• PKUAI26 / Deep-Learning-Advanced-Topics
  ☆154Updated 5 years ago
• davidbau / how-to-read-pytorch
  Quick, visual, principled introduction to pytorch code through five colab notebooks.
  ☆458Updated last year
• Doraemonzzz / ML-Foundation-and-ML-Techniques
  台大机器学习课程作业详解
  ☆303Updated 6 years ago
• marsggbo / machine_learning_basics_notes
  机器学习白板推导系列笔记总结
  ☆32Updated 6 years ago
• liigoQi / Whiteboard_ML_Notes
  b站@shuhuai008的白板推导系列课程手写笔记，补充了一些用到的数学基础知识。
  ☆74Updated 5 years ago
• sailinglab / pgm-spring-2019
  Course webpage for PGM, Spring 2019.
  ☆76Updated 4 years ago
• niudd / kaggle-cloud
  ☆121Updated 6 years ago
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆723Updated 6 years ago
• yousuketakada / prml_errata
  More PRML Errata
  ☆81Updated 3 years ago
• 2019ChenGong / Machine-Learning-Notes
  ☆525Updated 4 years ago
• inessus / CMU_11785_Deep_Learning_Code
  ☆20Updated 7 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.
  ☆91Updated 6 years ago
• nikolajohn / Pattern-Recognition-And-Machine-Learning-
  Pattern Recognition And Machine Learning 相关的学习资源
  ☆155Updated 6 years ago
• jasonbian97 / Deep-Learning-Computer-Vision
  Personal implementation for Stanford CS231n / Umich: Deep Learning for Computer Vision (by Justin Johnson)
  ☆78Updated 6 years ago
• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆53Updated 4 years ago
• kongxuanzhi / math
  以现在人的努力程度之低，还谈不到拼天赋的时候
  ☆90Updated 8 years ago
• Trinkle23897 / ml
  Machine Learning repo
  ☆44Updated 3 years ago
• cycleuser / MLAPP-CN
  A Chinese Notes of MLAPP，MLAPP 中文笔记项目 https://zhuanlan.zhihu.com/python-kivy
  ☆363Updated 4 years ago
• tengyuma / cs229m_notes
  ☆241Updated 3 years ago