Alternatives and similar repositories for AI-with-code

Users that are interested in AI-with-code are comparing it to the libraries listed below

• KangCai / Machine-Learning-Algorithm
  【Numpy 手写实现】SVM 支持向量机 | KNN K近邻 | Kmeans | Logistic Regression 逻辑回归 | Maximum Entropy 最大熵 | Naive Bayes 朴素贝叶斯 | Perception 感知机 | Decision…
  ☆215Updated 5 years ago
• SpringMagnolia / NLPnote
  Gitbook Address: https://app.gitbook.com/@nlpgroup/s/nlpnote/
  ☆158Updated 4 years ago
• ChileWang0228 / DeepLearningTutorial
  深度学习代码
  ☆132Updated 6 years ago
• statisticszhang / Deep-Learning-with-PyTorch-Tutorials
  深度学习与PyTorch入门实战视频教程 配套源代码和PPT
  ☆78Updated 6 years ago
• LeBron-Jian / MachineLearningNote
  ☆505Updated last year
• tsuirak / skills
  个人的技能树仓库，主要包含个人机器学习以及深度学习的笔记
  ☆370Updated 4 years ago
• JansonYuan / Pytorch-Camp
  ☆372Updated 4 years ago
• braveryCHR / LSTM_poem
  使用pytorch实现RNN-LSTM写诗
  ☆158Updated 6 years ago
• greebear / pytorch-learning
  ☆195Updated 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
• TommyZihao / zihaopytorch
  simple tutorial of pytorch
  ☆137Updated 6 years ago
• bainingchao / PyDataPreprocessing
  《Python数据预处理技术与实践》源码下载
  ☆210Updated 6 years ago
• ZeweiChu / PyTorch-Course
  JULYEDU PyTorch Course
  ☆1,089Updated 4 years ago
• BackyardofAbela / EnsembleLearning
  包括决策树和随机森林进行离职人员预测，Xgboost和lightGBM的应用
  ☆287Updated 5 years ago
• kangpeilun / Pytorch_Learning_Notes
  Pytorch_Learning_Notes
  ☆102Updated 9 months ago
• Qinbf / Deep-Learning-Tensorflow2
  基于Tensorflow2的深度学习开源书籍
  ☆346Updated 5 years ago
• KaifuZ / ML_mindmap
  ☆149Updated 5 years ago
• baifengbai / PYTORCH_LEARNING
  书籍：深度学习框架pytorch入门与实践
  ☆158Updated 7 years ago
• nndl / solutions
  《神经网络与深度学习》课后习题答案-分享讨论
  ☆777Updated 5 years ago
• tsuirak / deeplearning.ai
  该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。
  ☆366Updated 2 years ago
• wzy6642 / Dive-Into-Deep-Learning-PyTorch-PDF
  本项目对中文版《动手学深度学习》中的代码进行了PyTorch实现并整理为PDF版本供下载
  ☆618Updated 4 years ago
• Day-yong / Machine_Learning
  机器学习算法经典案例
  ☆112Updated 4 years ago
• shazhongcheng / machine_learing_study
  ☆418Updated 4 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
• sangyx / d2l-torch
  《动手学深度学习》 PyTorch 版本
  ☆179Updated 5 years ago
• Relph1119 / deeplearning-with-tensorflow-notes
  龙曲良《TensorFlow深度学习》学习笔记及代码，采用TensorFlow2.0.0版本
  ☆176Updated 2 years ago
• nndl / nndl-exercise-ans
  Solutions for nndl/exercise
  ☆114Updated 5 years ago
• fendouai / pytorch1.0-cn
  PyTorch 1.0 官方文档 中文版，欢迎关注微信公众号：磐创AI
  ☆369Updated 6 years ago
• zhengyima / mnist-classification
  Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）
  ☆443Updated 5 years ago
• mantchs / machine_learning_model
  机器学习基本模型算法介绍(附加案例)
  ☆227Updated 6 years ago