Alternatives and similar repositories for MachineLearning

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

• 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
• SleepyBag / Statistical-Learning-Methods
  Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现
  ☆1,184Updated 3 years ago
• HAOzj / Classic-ML-Methods-Algo
  Review, theoretical analysis and implementation of classic Machine Learning methods
  ☆100Updated 2 years ago
• zxjzxj9 / PyTorchIntroduction
  《深入浅出 PyTorch——从模型到源码》源代码和勘误（见Issues）
  ☆351Updated 3 years ago
• ws13685555932 / machine_learning_derivation
  notes of machine learning algorithm derivation
  ☆789Updated 6 years ago
• LeBron-Jian / MachineLearningNote
  ☆505Updated last year
• 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
  ☆365Updated 6 years ago
• tsuirak / Statistical-Learning-Methods-lihang
  个人关于李航《统计学习方法》的一些肤浅解释和学习，以及numpy和sklearn编程实现
  ☆86Updated 5 years ago
• nndl / solutions
  《神经网络与深度学习》课后习题答案-分享讨论
  ☆784Updated 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
• yizt / numpy_neural_network
  仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...
  ☆553Updated 5 years ago
• SmallVagetable / machine_learning_python
  通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯
  ☆736Updated 6 years ago
• jiangyiqun233 / PRML_learning
  learning fomula
  ☆296Updated 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
• xiaobaoonline / pytorch-in-action
  ☆174Updated 3 years ago
• Sophia-11 / DeepLearningNotes
  《深度学习》花书手推笔记
  ☆506Updated 5 years ago
• LianHaiMiao / pytorch-lesson-zh
  pytorch 包教不包会
  ☆398Updated 6 years ago
• niudd / kaggle-cloud
  ☆121Updated 6 years ago
• hktxt / Learn-Statistical-Learning-Method
  Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。
  ☆858Updated 4 years ago
• zhulei227 / ML_Notes
  机器学习算法的公式推导以及numpy实现
  ☆2,117Updated 2 years ago
• Microstrong0305 / WeChat-zhihu-csdnblog-code
  WeChat Official Accounts, zhihu and CSDN'blog code
  ☆268Updated 5 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
• wrayzheng / gmm-em-clustering
  高斯混合模型（GMM 聚类）的 EM 算法实现。
  ☆204Updated 7 years ago
• Leputa / Machine-Learning-Foundations-Techniques
  ☆110Updated 7 years ago
• fuqiuai / lihang_algorithms
  用python和sklearn两种方法实现李航《统计学习方法》中的算法
  ☆340Updated 7 years ago
• greebear / pytorch-learning
  ☆197Updated 5 years ago
• baifengbai / PYTORCH_LEARNING
  书籍：深度学习框架pytorch入门与实践
  ☆158Updated 7 years ago
• shazhongcheng / machine_learing_study
  ☆419Updated 4 years ago
• yhangf / ML-NOTE
  慢慢整理所学的机器学习算法，并根据自己所理解的样子叙述出来。(注重数学推导)
  ☆674Updated 3 years ago
• mantchs / machine_learning_model
  机器学习基本模型算法介绍(附加案例)
  ☆228Updated 6 years ago