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This repository provides a collection of PyTorch tutorials, examples, and related books for developers interested in deep learning and AI.
A repository hosting extended examples and tutorials for the Kubeflow machine learning platform.
A Python library for interpretable and explainable machine learning model analysis and visualization.
Algorithmic trading experiments using deep learning techniques, primarily focused on the OpenEdge ABL language.
A collaboration workspace for Machine Learning, supporting popular ML frameworks and enabling reproducible workflows.
Unsupervised image classification library using contrastive learning and SCAN algorithm.
A C++ based web server implementation for running and learning web development
Open-source foundational library for training deep learning models with PyTorch.
A collection of learning materials for vibe coders, including videos and PDFs.
This GitHub repository contains learning materials related to red team techniques and security research.
This repository tracks RISC-V education, training, courses, and other learning resources.
A tutorial on building a RESTful web service with Spring, a popular Java web framework.
A Python toolkit for building and fine-tuning deep learning models, including NLP and question answering.
A deep learning library for Haskell, enabling developers to build advanced AI models and applications.
An open-source tool for quickly annotating and labeling images for computer vision and deep learning projects.
AMD-SHARK Studio is a web UI for the SHARK+IREE high-performance machine learning distribution.
This is a tutorial repository for learning React.js, a popular JavaScript library for building user interfaces.
A deep learning toolkit for medical image analysis, supporting a variety of neural network models and medical imaging tasks.
Curated list of science & math video lecture courses for self-directed learning
A comprehensive collection of resources for learning machine learning in Russian.
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