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

• ZJUGuoShuai / MachineLearningLectureNotes
  张志华机器学习导论 MOOC 讲义
  ☆130Updated 3 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
• MLaPP-Solution-Manual / Solutions-to-Machine-Learning-A-Probabilistic-Perspective-
  Solutions to "Machine Learning: A Probabilistic Perspective"
  ☆162Updated 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.
  ☆560Updated 6 years ago
• 2019ChenGong / Machine-Learning-Notes
  ☆525Updated 4 years ago
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆122Updated 6 years ago
• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆53Updated 4 years ago
• PKUAI26 / Deep-Learning-Advanced-Topics
  ☆153Updated 5 years ago
• econti / cs229
  Stanford CS229 (Autumn 2017)
  ☆371Updated 7 years ago
• LynnHo / Matrix-Calculus-Tutorial
  Matrix Calculus via Differentials, Matrix Derivative, 矩阵求导教程
  ☆290Updated 2 years ago
• leilichuan / Pattern-Recognition-and-Machine-Learning-Chinese-Note
  A Chinese learning note with python codes for Pattern Recognition and Machine Learning.
  ☆29Updated 7 years ago
• amber-kshz / PRML
  Python implementations (on jupyter notebook) of algorithms described in the book "PRML"
  ☆258Updated 4 years ago
• davidbau / how-to-read-pytorch
  Quick, visual, principled introduction to pytorch code through five colab notebooks.
  ☆447Updated 10 months 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 7 years ago
• yousuketakada / prml_errata
  More PRML Errata
  ☆81Updated 2 years ago
• jiangyiqun233 / PRML_learning
  learning fomula
  ☆294Updated 4 years ago
• zhengqigao / PRML-Solution-Manual
  My Own Solution Manual of PRML
  ☆998Updated 4 years ago
• hova88 / MIT-18.03-ode-notes
  MIT 18.03 微分方程（Differential Equations）中文笔记
  ☆94Updated 6 months ago
• florist-notes / CS228_PGM
  🌲 Stanford CS 228 - Probabilistic Graphical Models
  ☆146Updated last year
• nikolajohn / Pattern-Recognition-And-Machine-Learning-
  Pattern Recognition And Machine Learning 相关的学习资源
  ☆154Updated 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
• Theigrams / Mathematical-optimization
  数学系本科三年级《最优化理论与方法》
  ☆174Updated 4 years ago
• israfelsr / CS231n
  CS231n Assignments Solutions - Spring 2020
  ☆48Updated 4 years ago
• niudd / kaggle-cloud
  ☆121Updated 5 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
• leehanchung / cs182
  Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks
  ☆85Updated 2 years ago
• zhuzilin / NP_ML
  A tool library of classical machine learning algorithms with only numpy.
  ☆223Updated 4 years ago
• fengyang95 / tiny_ml
  numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法
  ☆242Updated 5 years ago
• cpejlgc / li_hang
  李航统计学习方法 PPT
  ☆117Updated 9 years ago
• kushagra06 / CS221_AI
  🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques
  ☆83Updated 6 years ago