A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning tech...
3D Human Pose Machines with Self-supervised Learning
翻译 - 具有自我监督学习功能的3D人体姿势机
PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
A repository to try out Supervised Learning algorithms in Machine Learning
Predicting Employee Churn with Supervised Machine Learning
This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.
This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competit...
This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - ...
Supervised machine learning case studies in R! 💫 A free interactive tidymodels course
翻译 - R中受监督的机器学习案例研究！ interactive免费的互动课程
#计算机科学#Qlib 是一个 AI 量化投资平台，涵盖了量化投资的全过程，为用户的 AI 算法提供了高性能的底层基础架构
《Probabilistic Machine Learning》 - 《概率机器学习》系列丛书，作者 Kevin Murphy
Synthesis of Control Barrier Functions Using a Supervised Machine Learning Approach
Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775
Feature exploration for supervised learning
Weakly Supervised Learning On Images
《Machine Learning Systems: Design and Implementation》 中文译本 - 《机器学习系统：设计和实现》
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
翻译 - 自我监督学习工具箱和基准
Semi-Supervised Learning, Object Detection, ICCV2021
翻译 - 半监督学习，目标检测，ICCV2021
Semi-supervised learning with graph embeddings
Paper bank for Self-Supervised Learning
Semi-supervised learning for object detection
Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge
#计算机科学#Machine learning, in numpy
翻译 - 机器学习，以数字表示
Basic Machine Learning and Deep Learning
翻译 - 基础机器学习和深度学习