supervised-learning topic
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
Machine-Learning-Models
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaus...
EasyPR
(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Desig...
face.evoLVe
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
SMART
Smarter Manual Annotation for Resource-constrained collection of Training data
karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Self-Driving-Car-in-Video-Games
A deep neural network that learns to drive in video games
Complete-Life-Cycle-of-a-Data-Science-Project
Complete-Life-Cycle-of-a-Data-Science-Project