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Open-source, low-code machine learning library in Python that automates machine learning workflows.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Class on machine w/ PDF, lectures, code.

Open source threat intelligence platform for analyzing observables, files, and security indicators.

OSINT tool for collecting domain, IP, ASN, and infrastructure intelligence from multiple sources.

GitHub list of deblurring methods, image-restoration tools, and visual enhancement resources.

Curated GitHub list of Telegram OSINT tools, channels, methods, and research resources.

C# - Opensource OSINT program, using google dorking methods, free api's and much more.

A python script utilising WebSockets to artificially increase a stream's viewer count on Kick.

A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.

A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.

A platform for reproducible and scalable machine learning and deep learning on kubernetes.

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform.

General Machine Learning library using Numenta’s Cortical Learning Algorithm.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

wayback-machine-downloader downloads websites, archived pages, or web source files for offline access and review.

) - Nostr data vending machine example by Pablof7z

Python library for data-centric AI and machine learning with messy, real-world data and labels.

Machine learning and numerical analysis tools for Node.js and the Browser!

Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.

A comprehensive set of fairness metrics for datasets and machine learning models.

Automated machine learning for image, text, tabular, time-series, and multi-modal data.

Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.

CPU and GPU-accelerated Machine Learning Library.