100 Days of ML Coding

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Code for Tensorflow Machine Learning Cookbook

Python code for common Machine Learning Algorithms

The Operator Splitting QP Solver

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

微博情感分析，文本分类，毕业设计项目

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

Curso de Introducción a Machine Learning con Python

Java Statistical Analysis Tool, a Java library for Machine Learning

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

A minimalistic educational hypervisor for Windows on AMD processors.

Compendium of free ML reading resources

Machine Learning library for the web and Node.

📚《统计学习方法-李航: 笔记》 200页PDF，公式细节讲解🎉

SimpleSvmHook is a research purpose hypervisor for Windows on AMD processors.

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）