Machine-Learning-Course-Project

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

?? Articles I wrote about machine learning, archived from MachineCurve.com.

Scaled-YOLOv4: Scaling Cross Stage Partial Network

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

A curated list of gradient boosting research papers with implementations.

An implementation of Actor, Publish-Subscribe, and CSP models in one rather small C++ framework. With performance, quality, and stability proved by years in the production.

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见10余种机器学习算法原理与实现及视频讲解。@月来客栈 出品

ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite