使用神经网络和遗传算法的Flappy Bird机器学习

machine-learning-algorithm 开源项目推荐(53 个)
machine-learning-algorithm 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 53 个仓库GeneWalk identifies relevant gene functions for a biological context using network representation learning
FL-HDC: Hyperdimensional Computing Design for the Application of Federated Learning (IEEE AICAS2021)
A comprehensive curated list of algorithms🤠 🏆
Openwrt 18.06.5 featured with the Exein's security framework
🍾 A comprehensive machine learning project using Random Forest algorithm to predict wine quality based on physicochemical properties. Features EDA, model training, hyperparameter tuning, feature importance analysis, and detailed documentation.
A project to survey the possibilities of a graph database Neo4j in building decision tree algorithms using stored procedures.
Using machine learning models to predict if patients have chronic kidney disease based on a few features. The results of the models are also interpreted to make it more understandable to health practitioners.
This project aims to reduce the time delay caused due to the unnecessary back and forth shuttling between the hospital and the pathology lab. Here a machine learning algorithm will be trained to predict a liver disease in patients using a data-set collected from North East of Andhra Pradesh, India.
This source code is a MATLAB implementation of a haze removal algorithm that can deal with the post-dehazing false enlargement of white objects effectively. The work was published in MDPI Sensors journal under the title "Single-Image Visibility Restoration: A Machine Learning Approach and Its 4K-Capable Hardware Accelerator".
The data-set is related with direct marketing campaigns (were based on phone calls) of a banking institution. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be ('yes') or not ('no') subscribed. The goal is to predict if the client will subscribe a term deposit
Ozone Day AdaBoostClassifier and Random Forest Tree Classifier with Machine Learning
A log-based Threat Hunting tool
Welcome to Guilherme Yuji Fernandes' Portfolio. Here you will find data science projects with problems that many companies are trying to solve nowadays. The solutions given to them were obtained through data.
A java library providing a configurable neural network. Supports supervised learning and genetic algorithm.
Using long short term memory networks to analysis the pollution of Beijing, China.
Artificial Intelligence, Computer Network, Machine Learning, Python, DAA, Distributed System, Internet of Things (IoT), Data Science and Analysis.
A Classification Method in Machine Learning Based on Soft Decision-Making via Fuzzy Parameterized Fuzzy Soft Matrices
A machine learning algorithm based on Gaussian processes for MODIS multilayer cloud and thermodynamic phase classification using CALIOP and CloudSat
Numerical Data Classification via Distance-Based Similarity Measures of Fuzzy Parameterized Fuzzy Soft Matrices
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/machine-learning-algorithm。
- 该话题在 GitHub 上共有 53 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2216 Star,覆盖 6 种主要语言,数据更新于 2026-11-11。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。