机器学习检测webshell,利用textcnn+简单二分类网络,基于keras,花了七天
从文件熵 文件长度 文件语句提取出特征,然后文件熵与长度送入二分类网络,文件语句送入textcnn
https://key08.com/index.php/2021/03/05/945.html
白帽wiki是一个公益性质的知识库为所有人在知识付费时代提供一个简单的免费的存储知识的网站.对标vxjump.net,我会无偿的将我的所学到的知识分享在此wiki中,目前涉及到机器学习领域,虚拟化安全领域,传统安全领域,游戏安全领域,EFI硬件安全领域.希望后人能少一点坑. 你可以在此网站中发现一个沉沦很久的讨论群,选择加入,然后一起扯淡聊天. https://key08.com
PLUR (Programming-Language Understanding and Repair) is a collection of source code datasets suitable for graph-based machine learning. We provide scripts for downloading, processing, and loading the
Data from "Datamodels: Predicting Predictions with Training Data" Here we provid
Apple-voice-recognition Machine Learning How does Siri work? Siri is based on large-scale Machine Learning systems that employ many aspects of data sc
napari-sklearn-decomposition A simple plugin to use with napari This napari plug
RuleFit Implementation of a rule based prediction algorithm based on the rulefit algorithm from Friedman and Popescu (PDF) The algorithm can be used f
Python-ELM v0.3 --- ARCHIVED March 2021 --- This is an implementation of the Extreme Learning Machine [1][2] in Python, based on scikit-learn. From
ml4h is a toolkit for machine learning on clinical data of all kinds including genetics, labs, imaging, clinical notes, and more
ETNA Time Series Library Predict your time series the easiest way Homepage | Documentation | Tutorials | Contribution Guide | Release Notes ETNA is an
CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and t
Skill-vs-chance-games-analysis - Finding a method to objectively quantify skill versus chance in games, using reinforcement learning
Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a
Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
rpforest rpforest is a Python library for approximate nearest neighbours search: finding points in a high-dimensional space that are close to a given
Table of contents Extended Isolation Forest Summary Motivation Isolation Forest Extension The Code Installation Requirements Use Citation Releases Ext
Predicting Keystrokes using an Audio Side-Channel Attack and Machine Learning My
🤖 ⚡ scikit-learn tips New tips are posted on LinkedIn, Twitter, and Facebook. 👉 Sign up to receive 2 video tips by email every week! 👈 List of all
DistML is a Ray extension library to support large-scale distributed ML training on heterogeneous multi-node multi-GPU clusters
Predicting job salaries from ads - a Kaggle competition
76 Nov 25, 2022
51 Dec 09, 2022
1 Oct 22, 2021
1 Sep 01, 2022
326 Jan 02, 2023
511 Dec 20, 2022
65 Dec 20, 2022
675 Jan 08, 2023
141 Nov 10, 2022
164 Jan 04, 2023
4 Nov 19, 2022
14.5k Jan 07, 2023
25 Dec 28, 2022
119 Nov 24, 2022
211 Dec 29, 2022
377 Dec 18, 2022
3 Apr 10, 2022
1.6k Jan 03, 2023
27 Aug 19, 2022
57 Oct 23, 2020