machlearnport Goto Github PK

followers: 4.0 following: 30.0 repos: 31.0 gists: 0.0

Type: User

Bio: Eat, sleep, code, repeat Interests: ML, data sciences and numerical/analytical modelling

machlearnport's Projects

aix360

Interpretability and explainability of data and machine learning models

atomic-threat-coverage

Automatically generated actionable analytics designed to combat threats based on MITRE's ATT&CK.

autogpt-sec

An experimental open-source attempt to make GPT-4 fully autonomous. For with security focus

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

classical_lamination_theory

CLT model based on either laminate or constituent values with UI

composite_layup_optimization

This program uses multi-level ML algorithms to optimizes the number of plies and their orientation in laminate composites

create-react-app

Create React apps with no build configuration.

examples

Home for Elasticsearch examples available to everyone. It's a great way to get started.

A Python module to scrape several search engines (like Google, Yandex, Bing, Duckduckgo, Baidu and others) by using proxies (socks4/5, http proxy) and with many different IP's, including asynchronous networking support (very fast).

h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles...)

kafka-streams-machine-learning-examples

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, DeepLearning4 and other technologies.