Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A modern and intuitive Chrome extension that brings your favorite OSINT tools, metadata analyzers, and Google Dorking assistants right into your browser.
Framework to connect a flow of ML models by applying graph theory.
A toolkit to help understand models and enable responsible machine learning.
One of the most popular modern web proxies with blazing fast speeds and a variety of games.
Notebooks and code for the book "Introduction to Machine Learning with Python".
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Autograd and XLA for high-performance machine learning research.
A python library for doing approximate and phonetic matching of strings.
A project to make it easier to use large external knowledge bases with LLMs.
Chinese Words Segmentation Utilities.
Chinese Words Segmentation Utilities.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.
Machine learning toolkit with classification and clustering for Node.js; supports visualization (see visualml.io).
Jupyter notebook is a web-based notebook environment for interactive computing.
A collection of pre-trained StyleGAN 2 models to download.
Code for the Kaggle acquire valued shoppers challenge.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.