Alternatives and similar repositories for ML_DL_LearningList

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

• anch3or / Optimization-Notes
  《最优化导论》第1 2 3 4 5 6 7 8 9 10 11 13 20 21 22 23章LaTeX公式笔记
  ☆41Updated 7 years ago
• ZJUGuoShuai / MachineLearningLectureNotes
  张志华机器学习导论 MOOC 讲义
  ☆129Updated 3 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
• ZhiqingXiao / pytorch-book
  Source codes for the book "Application of Neural Network and PyTorch"
  ☆157Updated 3 years ago
• niudd / kaggle-cloud
  ☆121Updated 6 years ago
• Pysamlam / Machine-Learning-Knowledge
  🤓 Important machine learning knowledge, each article deeply analyzes theoretical knowledge
  ☆118Updated 5 years ago
• applenob / rl_learn
  我的强化学习笔记和学习材料 still updating ... ...
  ☆366Updated 4 months ago
• Doraemonzzz / Convex-Optimization
  记录学习凸优化的笔记
  ☆26Updated 5 years ago
• chansonZ / book-ml-sem
  《机器学习：软件工程方法与实现》Method and implementation of machine learning software engineering
  ☆187Updated 3 years ago
• ahangchen / melon_concepts
  西瓜书概念整理
  ☆91Updated 4 years ago
• murufeng / Awesome-AI-algorithm
  人工智能算法方面的综合资料合集:包括求职面试、机器学习、深度学习、强化学习等方面的资料和代码
  ☆317Updated 4 years ago
• monkeyDemon / Learn_Dive-into-DL-PyTorch
  Datawhale第10期组队学习活动：《动手学深度学习》Pytorch版的练习代码
  ☆90Updated 5 years ago
• wmn7 / ML_Practice
  ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html
  ☆237Updated 2 years ago
• ys1305 / sklearn-ml
  各种机器学习方法在sklearn中的使用-菜菜的机器学习sklearn课堂
  ☆99Updated 6 years ago
• apachecn / stanford-cs234-notes-zh
  斯坦福 cs234 强化学习中文讲义
  ☆208Updated 5 years ago
• 2019ChenGong / Machine-Learning-Notes
  ☆525Updated 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
• HadXu / ML-From-Scratch
  机器学习算法 基于西瓜书以及《统计学习方法》，当然包括DL。
  ☆299Updated 6 years ago
• AI-Papers-Translation / StudyNotes-CN
  使用 MD 文件记录 Java, Python, ML, DL, NLP 的学习笔记
  ☆20Updated 2 years ago
• tz28 / deep-learning
  personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout，…
  ☆224Updated 6 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
  ☆244Updated 6 years ago
• shuhuai007 / cs229
  Stanford CS229 (Autumn 2017)
  ☆30Updated 8 years ago
• ZxyGed / ConvexOptimization
  中科大凌青老师凸优化课程的课程笔记
  ☆38Updated 5 years ago
• 543877815 / neural-network-practise
  慕课网上深度学习之神经网络（CNN RNN GAN）算法原理+实战练习的代码和部分数据
  ☆43Updated 6 years ago
• yang-jinchao / Matplotlib
  matplotlib 绘图可视化知识点
  ☆61Updated 7 years ago
• librauee / Statistical-Learning
  ✒统计学习方法第二版（李航） 学习笔记、代码实现、课后习题
  ☆366Updated 6 years ago
• zlxy9892 / ml_code
  A repository for recording the machine learning code
  ☆95Updated 3 years ago
• CausalAI / what-if
  教材 Causal Inference: What if 的编译和解读！
  ☆34Updated 5 years ago
• morningsky / NTU-ReinforcementLearning-Notes
  国立台湾大学李宏毅老师讲解的深度强化学习学习笔记
  ☆150Updated 6 years ago
• datawhalechina / ensemble-learning
  ☆146Updated 3 years ago