7187 Open source projects that are alternatives of or similar to Whitehat

Collection of quality safety articles. Awesome articles.

Plain python implementations of basic machine learning algorithms

Machine Learning notebooks for refreshing concepts.

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Log Anomaly Detection - Machine learning to detect abnormal events logs

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

I will update this repository to learn Machine learning with python with statistics content and materials

Quack Toolkit is a set of tools to provide denial of service attacks. Quack Toolkit includes SMS attack tool, HTTP attack tool and many other attack tools.

Payload for teensy like a rubber ducky but the syntax is different. this Human interfaes device ( HID attacks ). Penetration With Teensy . Brutal is a toolkit to quickly create various payload,powershell attack , virus attack and launch listener for a Human Interface Device ( Payload Teensy )

The Web Application Hacker's Handbook - Extra Content

ALL IN ONE Hacking Tool For Hackers

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

A day to day plan for this challenge. Covers both theoritical and practical aspects

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Free advanced and modern Windows botnet with a nice and secure PHP panel.

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Code for our paper "Hamiltonian Neural Networks"

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

hacker, ready for more of our story ! 🚀

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

Apache Solr Injection Research

Learn advanced data science on real-life, curated problems

Make a pull request. Let's hack the ocktober in an innovative way.

🐍 Python visualization tools for openPMD files

A high performance implementation of HDBSCAN clustering.

The "Python Machine Learning (1st edition)" book code repository and info resource

This repository provides everything you need to get started with Python for (social science) research.

🎁 3,000,000+ Unsplash images made available for research and machine learning

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

InfiniteBoost: building infinite ensembles with gradient descent

Notes and Summaries on ML-related Research Papers (with optional implementations)

Machine Learning Concepts with Concepts

🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on

Reinforcement learning with A* and a deep heuristic

Google Research

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

平常看到好的渗透hacking工具和多领域效率工具的集合

Framework for building Windows malware, written in C++

Reimplementation of DRAW

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

BruteSploit is a collection of method for automated Generate, Bruteforce and Manipulation wordlist with interactive shell. That can be used during a penetration test to enumerate and maybe can be used in CTF for manipulation,combine,transform and permutation some words or file text :p

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Multi-threaded Instagram Brute Forcer (100 attemps at once)

Notebooks based on financial machine learning.

Security Orchestration, Automation and Response (SOAR) Platform. 安全编排与自动化响应平台，无需编写代码的安全自动化，使用 SOAR 可以让团队工作更加高效

Dracnmap is an open source program which is using to exploit the network and gathering information with nmap help. Nmap command comes with lots of options that can make the utility more robust and difficult to follow for new users. Hence Dracnmap is designed to perform fast scaning with the utilizing script engine of nmap and nmap can perform various automatic scanning techniques with the advanced commands.

Introduction to Data Science

Daily Dose of Neural Network that Everyone Needs

Imports Alienvault OTX pulses to a MISP instance

Lending Club Loan data analysis

The repository provides usefull python scripts for ML and data analysis

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.